computer architecture research paper topics

TEGRA – Scaling Up Terascale Graph Processing with Disaggregated Computing

William Shaddix, Mahyar Samani, Marjan Fariborz, S.J. Ben Yoo, Jason Lowe-Power, Venkatesh Akella

TDRAM: Tag-enhanced DRAM for Efficient Caching

Maryam Babaie, Ayaz Akram, Wendy Elsasser, Brent Haukness, Michael Miller, Taeksang Song, Thomas Vogelsang, Steven Woo, Jason Lowe-Power

Aragorn: A Privacy-Enhancing System for Mobile Cameras

Hari Venugopalan, Zainul Abi Din, Trevor Carpenter, Jason Lowe-Power, Samuel T. King, and Zubair Shafiq. IMWUT 2024.

Centauri: Practical Rowhammer Fingerprinting

Hari Venugopalan, Kaustav Goswami, Zainul Abi Din, Jason Lowe-Power, Samuel T. King, Zubair Shafiq

Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems

Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella High Performance Computing: 38th International Conference, ISC High Performance 2023.

HammerSim: A Tool to Model Rowhammer

Kaustav Goswami, Ayaz Akram, Hari Venugopalan, Jason Lowe-Power, Young Architect Workshop at ASPLOS 2023.

Validating gem5’s Memory Components

Mahyar Samani, Jason Lowe-Power, gem5 workshop at ISCA 2022.

Rethinking the Management Techniques in Emerging Memory Systems

Maryam Babaie, Ayaz Akram, Jason Lowe-Power MICRO 2022: The 8th CWIDCA Workshop.

Toward High-Fidelity Heterogeneous Memory System Modeling in gem5

Maryam Babaie, Ayaz Akram, Jason Lowe-Power ModSim 2022: Workshop on Modeling & Simulation of Systems and Applications

A Cycle-level Unified DRAM Cache Controller Model in gem5

Maryam Babaie, Ayaz Akram, Jason Lowe-Power ISCA 2022: The 4th gem5 Tutorial and User’s Workshop.

A Model for Scalable and Balanced Accelerators for Graph Processing

Mark Hildebrand, Jason Lowe-Power, and Venkatesh Akella. International Conference on High Performance Computing. 2023.

SoK: Limitations of Confidential Computing via TEEs for High-Performance Compute Systems

Ayaz Akram, Venkatesh Akella, Sean Peisert, Jason Lowe-Power. IEEE International Symposium on Secure and Private Execution Environment Design (SEED) 2022.

Modeling HBM2 Memory Controller

Ayaz Akram, Maryam Babaie, Wendy Elsasser, Jason Lowe-Power. The 4th gem5 Users’ Workshop associated with ISCA 2022.

LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads

Marjan Fariborz, Mahyar Samani, Pouya Fotouhi, Roberto Proietti, Il-min yi, Venkatesh Akella, Jason Lowe-Power, Samuel Palermo, S. J. Ben Yoo ISC-HPC 2022.

HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads

Pouya Fotouhi, Marjan Fariborz, Roberto Proietti, Jason Lowe-Power, Venkatesh Akella, S. J. Ben Yoo ISC-HPC 2021.

Enabling Design Space Exploration for RISC-V Secure Compute Environments

Ayaz Akram, Venkatesh Akella, Sean Peisert, Jason Lowe-Power. Fifth Workshop on Computer Architecture Research with RISC-V (CARRV 2021). With ISCA 2021.

Performance Analysis of Scientific Computing Workloads on General Purpose TEEs

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert. 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS ...

How to develop a bad research tool

Jason Lowe-Power. 2021 Workshop on Negative results, Opportunities, Perspectives, and Experiences (NOPE 2021). Held with ASPLOS. 2021

A Case Against Hardware Managed DRAM Caches for NVRAM based Systems

Best paper nominee Mark Hildebrand, Julian T. Angeles, Jason Lowe-Power, Venkatesh Akella 2021 IEEE International Symposium on Performance Analysis of System...

Enabling reproducible and agile full-system simulation

Best paper nominee Bobby R. Bruce, Ayaz Akram, Hoa Nguyen, Kyle Roarty, Mahyar Samani, Marjan Fariborz, Trivikram Reddy, Matthew D. Sinclair, Jason Lowe-Powe...

Investigating Hardware Caches for Terabyte-scale NVDIMMs

Julian T. Angeles, Mark Hildebrand, Venkatesh Akella, Jason Lowe-Power 12TH Annual Non-volatile Memories Workshop (NVMW 2021) 2021.

HCAPP: Scalable Power Control for Heterogeneous 2.5D Integrated Systems

Kramer Straube, Jason Lowe-Power, Christopher Nitta, Matthew Farrens, Venkatesh Akella. ICPP 2020.

AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming

Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella 25th International Conference on Architectural Support for Programming Languages and Operating Systems (...

Using Trusted Execution Environments on High Performance Computing Platforms

Ayaz Akram and Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert Open-source Enclaves Workshop (OSEW 2019) 2019.

The Davis In-Order (DINO) CPU: A Teaching-focused RISC-V CPU Design

Jason Lowe-Power and Christopher Nitta Workshop on Computer Architecture Education (WCAE) 2019.

FlexCPU: A Configurable Out-of-Order CPU Abstraction

Bradley Wang, Ayaz Akram, Jason Lowe-Power ISPASS 2019.

Improving Provisioned Power Efficiency in HPC Systems with GPU-CAPP

Kramer Straube, Jason Lowe-Power, Christopher Nitta, Matthew Farrens, and Venkatesh Akella. HiPC 2018.

Integrating Cycle Accurate Chisel Models with gem5’s System Simulation

Nima Ganjehloo, Jason Lowe-Power, Venkatesh Akella. CCC 2018.

A Case for Exposing Extra-Architectural State in the ISA

Jason Lowe-Power, Venkatesh Akella, Matthew K. Farrens, Samuel T. King, and Christopher J. Nitta. HASP Workshop with ISCA 2018.

Filtering Translation Bandwidth with Virtual Caching

Hongil Yoon, Jason Lowe-Power, Gurindar S. Sohi. ASPLOS 2018.

Improving Execution Time of Parallel Programs on Large Scale Chip Multiprocessors with Constant Average Power Processing

Kramer Straube, Christopher Nitta, Raj Amirtharajah, Matthew Farrens, Venkatesh Akella. ICCD 2018.

When to use 3D Die-Stacked Memory for Bandwidth-Constrained Big Data Workloads

Jason Lowe-Power, Mark D. Hill, David A. Wood. BPOE Workshop with ASPLOS 2016.

Border Control: Sandboxing Accelerators

Lena E. Olson, Jason Lowe-Power, Mark D. Hill, David A. Wood MICRO 2015.

Implications of Emerging 3D GPU Architecture on the Scan Primitive

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood. SIGMOD Record 2015.

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood. DaMoN (with SIGMOD) 2015.

gem5-gpu: A Heterogeneous CPU-GPU Simulator

Jason Power, Joel Hestness, Marc S. Orr, Mark D. Hill and David A. Wood. Computer Architecture Letters 2014.

Supporting x86-64 address translation for 100s of GPU lanes

Jason Power, Mark D. Hill,, David A. Wood. HPCA 2014.

Heterogeneous system coherence for integrated CPU-GPU systems

Jason Power, Arkaprava Basu, Junli Gu, Sooraj Puthoor, Bradford M. Beckmann, Mark D. Hill, Steven K. Reinhardt, and David A. Wood MICRO 2013.

Handbook of Computer Architecture

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• © 2022
• Latest edition
• Anupam Chattopadhyay   ORCID: https://orcid.org/0000-0002-8818-6983 0

Sch of Computer Science & Engineering, Nanyang Technological University, Singapore, Singapore

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• Reviews exhaustively the basic to the most advanced topics in computer architecture
• Includes in-depth study of design methodologies and tools for computer architectures
• Covers diverse types of architectures, ranging from ASICs, FPGAs to Multicores

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Trends in Processor Architecture

• Application-Specific Processors

• Single Core Processors
• Multicore Processors
• Reconfigurable Architectures
• 3D Architectures
• Processor Design Flows
• Processor Programming Flows
• Security Verification
• Neuromorphic Computing
• Quantum Computing

Table of contents (33 entries)

Accelerator design with high-level synthesis.

• Christian Pilato, Stephanie Soldavini

Approximate Computing Architectures

• Muhammad Abdullah Hanif, Vojtech Mrazek, Muhammad Shafique

Architecture Description Languages

• Anupam Chattopadhyay, Zheng Wang, Grant Martin

Architectures for Machine Learning

• Yongkui Yang, Chao Chen, Zheng Wang

Architectures for Multimedia Processing: A Cross-Layer Perspective

• Muhammad Shafique, Bharath Srinivas Prabakaran

Architectures for Quantum Information Processing

• Suryansh Upadhyay, Mahabubul Alam, Swaroop Ghosh

Architectures for Self-Powered Edge Intelligence

• Amit Ranjan Trivedi, Jaeha Kung, Jong Hwan Ko

Bit-Level Model Checking

• Alexander Ivrii, Yakir Vizel

Coarse-Grained Reconfigurable Array (CGRA)

• Zhaoying Li, Dhananjaya Wijerathne, Tulika Mitra

Compute-in-Memory Architecture

• Hongwu Jiang, Shanshi Huang, Shimeng Yu

Dataflow Models of Computation for Programming Heterogeneous Multicores

• Jeronimo Castrillon, Karol Desnos, Andrés Goens, Christian Menard

Design and Tool Solutions for Monolithic Three-Dimensional Integrated Circuits

• Kyungwook Chang, Sung Kyu Lim

Design Automation Techniques for Microfluidic Biochips

• Xing Huang, Tung-Che Liang, Zhanwei Zhong, Tsung-Yi Ho, Krishnendu Chakrabarty

Fault Tolerant Architectures

• Siva Satyendra Sahoo, Anup Das, Akash Kumar

Field-Programmable Gate Array Architecture

• Andrew Boutros, Vaughn Betz

FPGA-Specific Compilers

• Nitish Srivastava, Gai Liu, Yi-Hsiang Lai, Zhiru Zhang

GPU Architecture

• Hyeran Jeon

High-Level Formal Equivalence

• Theo Drane, M. V. Achutha Kiran Kumar

Information Flow Verification

• Cynthia Sturton, Ryan Kastner

Methodologies for Design Space Exploration

• Andy D. Pimentel

Editors and Affiliations

Sch of computer science & engineering, nanyang technological university, singapore, singapore.

Anupam Chattopadhyay

About the editor

Sayak  Ray , Intel, San Jose, California, USA

Bibliographic Information

Book Title : Handbook of Computer Architecture

Editors : Anupam Chattopadhyay

DOI : https://doi.org/10.1007/978-981-15-6401-7

Publisher : Springer Singapore

eBook Packages : Springer Reference Engineering , Reference Module Computer Science and Engineering

eBook ISBN : 978-981-15-6401-7 Due: 19 May 2024

Number of Illustrations : 10 b/w illustrations, 10 illustrations in colour

Topics : Circuits and Systems , Processor Architectures , Electrical Engineering , Applications of Mathematics

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CLOSED Call for Papers: Special Issue on Top Picks from the 2021 Computer Architecture Conferences

IEEE Micro will publish its annual “Top Picks from the Computer Architecture Conferences” issue in May/June 2022. This issue collects some of the most significant research papers in computer architecture based on novelty and potential for long-term impact. Any computer architecture paper published in the top conferences of 2021 (including MICRO-54) is eligible. Each Top Picks submission must be based on a single paper, not a combination of multiple papers. The Top Picks Selection Committee will recognize those significant and insightful papers that have the potential to influence the work of computer architects for years to come.

Important Dates

Submission website opens: October 1, 2021 Submission deadline : October 25, 2021 Author notification: January 11, 2022 Revised papers due: February 10, 2022 Publication: May/June 2022

Submission Guidelines

To simplify reviewing, there is a mandatory format for submissions. Please upload the following two documents combined into a single PDF:

• A three-page, two-column document using 10-point type. The first two pages should summarize the paper. The third page should argue for the potential of the work to have long-term impact, clearly articulating why and how it will influence other researchers and/or industry. On the third page, please also include what the citation of the paper would be if it won a Test of Time award in 10 years.
• The final version of the original conference paper.

Submissions that do not follow this format will not be reviewed. The first document should contain the names of the authors with a footnote that includes the title of the original conference paper, the full name of the conference, and date of publication. Please submit here: https://toppicks2022.hotcrp.com

Accepted Paper Guidelines

Authors of accepted papers will receive further instructions on how to prepare the final papers to conform to IEEE Micro ‘s guidelines. Final papers should not exceed 5,000 words including references, with each average-size figure counting as 250 words toward this limit. Papers must have at least 30 percent new content. Final papers will be reviewed again before publication and edited for structure, style, clarity, and readability. February 10 is a hard deadline for final papers; papers received after that deadline will not be published.

Guest Editors (and Selection Committee Co-Chairs)

Sudhanva Gurumurthi, AMD, USA Radu Teodorescu, The Ohio State University, USA

Contact the guest editors at [email protected] .

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Advanced Topics in Computer Architecture

• The department

This course aims to provide students with an introduction to a range of advanced topics in computer architecture. It will explore the current and future challenges facing the architects of modern computers. These will also be used to illustrate the many different influences and trade-offs involved in computer architecture.

On completion of this module students should:

• understand the challenges of designing and verifying modern microprocessors
• be familiar with recent research themes and emerging challenges
• appreciate the complex trade-offs at the heart of computer architecture

Each seminar will focus on a different topic:

• Trends in computer architecture
• State-of-the-art microprocessor design
• Memory system design
• Hardware reliability
• Specification, verification and test
• Hardware security (2)
• HW accelerators and accelerators for machine learning

Each two hour seminar will include three student presentations (15mins) questions (5mins) and a broader discussion of the topics (around 30mins). The last part of the seminar will include a short scene setting lecture (around 20mins) to introduce the following week's topic.

Each week students will compare and contrast two of the main papers and submit a written summary and review in advance of each seminar (except when presenting).

Students will be expected to give a number of 15 minute presentations.

Essays and presentations will be marked out of 10. After dropping the lowest mark, the remaining marks will be scaled to give a final score out of 100.

Students will give at least one presentation during the course. They will not be required to submit an essay during the weeks they are presenting.

Each presentation will focus on a single paper from the reading list. Marks will be awarded for clarity and the communication of the paper's key ideas, an analysis of the work's strengths and weaknesses and the work’s relationship to related work and broader trends and constraints.

Recommended prerequisite reading

Patterson, D. A., Hennessy, J. L. (2017). Computer organization and design: The Hardware/software interface RISC-V edition Morgan Kaufmann. ISBN 978-0-12-812275-4.

Hennessy, J. and Patterson, D. (2012). Computer architecture: a quantitative approach . Elsevier (5th ed.) ISBN 9780123838728. (the 3rd and 4th editions are also relevant)

Further Information

Due to COVID-19, the method of teaching for this module will be adjusted to cater for physical distancing and students who are working remotely. We will confirm precisely how the module will be taught closer to the start of term.

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Computer Science > Machine Learning

Title: a survey of machine learning for computer architecture and systems.

Abstract: It has been a long time that computer architecture and systems are optimized for efficient execution of machine learning (ML) models. Now, it is time to reconsider the relationship between ML and systems, and let ML transform the way that computer architecture and systems are designed. This embraces a twofold meaning: improvement of designers' productivity, and completion of the virtuous cycle. In this paper, we present a comprehensive review of the work that applies ML for computer architecture and system design. First, we perform a high-level taxonomy by considering the typical role that ML techniques take in architecture/system design, i.e., either for fast predictive modeling or as the design methodology. Then, we summarize the common problems in computer architecture/system design that can be solved by ML techniques, and the typical ML techniques employed to resolve each of them. In addition to emphasis on computer architecture in a narrow sense, we adopt the concept that data centers can be recognized as warehouse-scale computers; sketchy discussions are provided in adjacent computer systems, such as code generation and compiler; we also give attention to how ML techniques can aid and transform design automation. We further provide a future vision of opportunities and potential directions, and envision that applying ML for computer architecture and systems would thrive in the community.

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Please consult the personal web pages of group members to see the board range of projects and research interests.

Current Funded Projects

• Loki processor
• CTSRD - Rethinking the hardware-software security interface
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• POETS - Architectures for massively-parallel event triggered systems
• IOSEC - Protection and Memory Safety for Input/Output Security
• SafeBet - Memory capabilities to enable safe, aggressive speculation in processors

We've developed a variety of hardware platforms to support this research.

Research Topics

Languages and compilers for multi-core architectures.

• Compiling for fine-grain parallel processing arrays
• Task partitioning for multi-core network processors

On-chip and multi-chip interconnection networks

• Low-latency and low-power on-chip networks
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Selected Previous Projects

Mrc2 - resilient cloud computing.

MRC2 built on the CTSRD project by extending the techniques to multiprocessors and multirack systems, and added many networking components.

BIMPA - Biologically inspired massively parallel architectures

The BIMPA project looked at full-custom FPGA-based compute pipelines and also distributed vector processors on FPGA for high performance neural execution. See the BIMPA project page for more details.

Communication centric computer design

• This project focused on communication as a first class design constraint.
• One outcome was Dan Greenfield's award winning Ph.D. thesis on Communication Locality in Computation: Software, Chip Multiprocessors and Brains
• The Communication centric computer design (C3D) project

Hardware security

• Technology- and circuit-level countermeasures to side-channel analysis attacks
• 3rd generation smart card project (G3Card)

Sensor networks

• WiredSense - Dense wired sensor networks

Novel approaches to system-timing

• Self-timed circuitry for global clocking
• Globally-Asynchronous Locally-Synchronous (GALS) systems
• Data-driven clocking
• Asynchronous circuit and processor design
• © 2019 Computer Laboratory, University of Cambridge Information provided by Simon Moore

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Computer architecture research topics for ms phd, computer architecture research topic ideas for ms, or ph.d. degree.

I am sharing with you some of the research topics regarding Computer Architecture that you can choose for your research proposal for the thesis work of MS, or Ph.D. Degree.

• Novel computer architectures and quantum chemistry
• Validation of Abstract Side-Channel Models for Computer Architectures
• X-Centric: A Survey on Compute-, Memory-and Application-Centric Computer Architectures
• Computer architecture
• Multilevel Monte Carlo Sampling on Heterogeneous Computer Architectures
• Custom hardware optimizations for reliable and high performance computer architectures
• CONSCIOUSNESS IN COMPUTER ARCHITECTURES: THE THEORY OF EXPELLED SCRIPTS1
• Guest Editors’ Introduction to the Special Issue on Machine Learning Architectures and Accelerators
• Gan compression: Efficient architectures for interactive conditional gans
• Advances in Architectures and Theories for Computer Vision
• Bounded incoherence: A programming model for non-cache-coherent shared memory architectures
• PRESENT COMPUTER ARCHITECTURES AND THE POTENTIAL OF OPTICS
• π-RT: A Runtime Framework to Enable Energy-Efficient Real-Time Robotic Vision Applications on Heterogeneous Architectures
• Roc: A reconfigurable optical computer for simulating physical processes
• Towards exploring the potential of alternative quantum computing architectures
• Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures
• Hierarchical algorithms on hierarchical architectures
• A simple method for rejection sampling efficiency improvement on SIMT architectures
• Modern Architectures for Core Computer Vision on Videos
• A Novel Approach based on Microservices Architectures and Computer Vision to improve access to Culture Heritage
• Fine-Grained Instruction Placement in Polymorphic Computing Architectures
• A Study on CNN Architectures for Chest X-Rays Multiclass Computer-Aided Diagnosis
• Computer Organization & Design
• Towards computer-network architectures for the digital transformation of large-scale systems
• Improving Performance of the Hypre Iterative Solver for Uintah Combustion Codes on Manycore Architectures Using MPI Endpoints and Kernel Consolidation
• Deep Learning: Concepts and Architectures
• A semi-supervised assessor of neural architectures
• Sparse Linear Algebra Toolkit for Computational Aerodynamics
• Learning architectures for binary networks
• Scalable molecular dynamics on CPU and GPU architectures with NAMD
• … toolkit: a key European free and open-source software for Deep Learning and Computer Vision ready to exploit heterogeneous HPC and cloud architectures
• Comparing different deep learning architectures for classification of chest radiographs
• Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks
• High performance computing systems
• Energy-efficient Parallel and Distributed Multi-objective Feature Selection on Heterogeneous Architectures
• Towards a quantum speedup via applications and architectures
• A survey on coarse-grained reconfigurable architectures from a performance perspective
• Deep Learning Architectures
• A survey of accelerator architectures for deep neural networks
• Mechanically flexible viscosity sensor for real‐time monitoring of tubular architectures for industrial applications
• Performance of Coupled-Cluster Singles and Doubles on Modern Stream Processing Architectures
• Attention u-net based adversarial architectures for chest x-ray lung segmentation
• Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
• Searching efficient 3d architectures with sparse point-voxel convolution
• Peeling off image layers on topographic architectures
• A Portable SIMD Primitive Using Kokkos for Heterogeneous Architectures
• Development and Analysis of Deep Learning Architectures
• Architectures and emerging trends in Internet of Things and Cloud computing: a literature review
• Deep Convolutional Neural Network Architectures for Tonal Frequency Identification in a Lofargram
• Macro and Micro Architectures for Network on Chip: A Review
• Late temporal modeling in 3d cnn architectures with bert for action recognition
• Considerations about the Implementation of Mini-MAP Architectures on a Front-End Processor
• Security in Microservices Architectures
• Cellular ceramic architectures produced by hybrid additive manufacturing: a review on the evolution of their design
• Review and evaluation of deep learning architectures for efficient land cover mapping with UAS hyper-spatial imagery: A case study over a wetland
• DeePar-SCA: Breaking Parallel Architectures of Lattice Cryptography via Learning Based Side-Channel Attacks
• Methodological aspects for cognitive architectures construction: a study and proposal
• Securing Machine Learning Architectures and Systems
• Meta-learning of neural architectures for few-shot learning
• A review on embedded field programmable gate array architectures and configuration tools
• Quantum computer architecture: Towards full-stack quantum accelerators
• Chaotic Architectures: a New Trend in Computers
• High-throughput fuzzy clustering on heterogeneous architectures
• Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition
• A Review of Services-Based Architectures for Video Surveillance
• Comparing Architectures of Neural Networks for an Integration in Enterprise Systems: A Retail Case Study
• Quantum computer systems for scientific discovery
• Aggregated Control of Quantum Computations: When Stacked Architectures Are Too Good to Be Practical Soon
• Towards suitable description of reference architectures
• Quantum Simulators: Architectures and Opportunities
• Cyber-physical systems architectures for industrial internet of things applications in Industry 4.0: A literature review
• A–Z survey of Internet of Things: Architectures, protocols, applications, recent advances, future directions and recommendations
• Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans
• Scalable Specialization: Architectures, Interfaces, & Applications
• Image-Based malware classification using ensemble of CNN architectures (IMCEC)
• SDN/NFV architectures for edge-cloud oriented IoT: A systematic review
• X3d: Expanding architectures for efficient video recognition
• Mobiledets: Searching for object detection architectures for mobile accelerators
• Evaluation of Deep Learning architectures for System Identification. Applications for a household heating system
• An updated survey of efficient hardware architectures for accelerating deep convolutional neural networks
• An overview of deep learning architectures in few-shot learning domain
• Finding and Exploiting Memory-Level-Parallelism in Constrained Speculative Architectures
• Deep learning approaches for neural decoding across architectures and recording modalities
• Similarity-Based Clustering for Enhancing Image Classification Architectures
• Task Mapping and Scheduling for OpenVX Applications on Heterogeneous Multi/Many-core Architectures
• Digital image processing methods
• Heuristics-based mediation for building smart architectures at run-time
• STEP-NC Architectures for Industrial Robotic Machining: Review, Implementation and Validation
• Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks
• A taxonomy of load balancing mechanisms in centralized and distributed SDN architectures
• Deep learning architectures
• Dynamic-sos: An approach for the simulation of systems-of-systems dynamic architectures
• A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset
• Panna: Properties from artificial neural network architectures
• Gastrointestinal diseases segmentation and classification based on duo-deep architectures
• Research of Neural Network Architectures for Solving Adaptive Routing Problems in Multiprovider Networks of Distributed Data Centers
• Blockchain Architectures for Physical Internet: A Vision, Features, Requirements, and Applications
• Translating Numerical Concepts for PDEs into Neural Architectures
• UNITOR@ DANKMEMES: Combining Convolutional Models and Transformer-based architectures for accurate MEME management
• SoFAr: Shortcut-based Fractal Architectures for Binary Convolutional Neural Networks
• Contrastive Embeddings for Neural Architectures
• An efficient uncertain graph processing framework for heterogeneous architectures
• Lung cancer classification with Convolutional Neural Network Architectures
• Blockchain for cybersecurity and privacy: architectures, challenges, and applications
• Learning sparse sharing architectures for multiple tasks
• Integrated structured light architectures
• Understanding the relationships between information architectures and business models: An empirical study on the success configurations of smart communities
• 5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges
• Image-Based Plant Disease Identification by Deep Learning Meta-Architectures
• Deep Learning Architectures and Techniques for Multi-organ Segmentation
• … triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning architectures
• What shapes feature representations? Exploring datasets, architectures, and training
• Domain-Specific Computing Architectures and Paradigms
• ADVANCING COMPILER OPTIMIZATIONS FOR GENERAL-PURPOSE & DOMAIN-SPECIFIC PARALLEL ARCHITECTURES
• Parallel stochastic gradient descent on multicore architectures
• Comparison of radio-frequency power architectures for plasma generation
• Fine-grained Scheduling in Heterogeneous-ISA Architectures
• Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules’ malignancy rating
• DeepGrip: Cricket Bowling Delivery Detection with Superior CNN Architectures
• Connected vehicles in the IoV: concepts, technologies and architectures
• Implementing a neural network interatomic model with performance portability for emerging exascale architectures
• Exploration of Hardware Architectures for String Matching Algorithms in Network Intrusion Detection Systems
• Sentiment analysis using deep learning architectures: a review
• Towards Accurate and Compact Architectures via Neural Architecture Transformer
• MicroNets: Neural network architectures for deploying TinyML applications on commodity microcontrollers
• A Survey of System Architectures and Techniques for FPGA Virtualization
• An Experimental Review on Deep Learning Architectures for Time Series Forecasting
• Scalable parallel flash firmware for many-core architectures
• Deep Learning Architectures: A Hierarchy in Convolution Neural Network Technologies
• Blockchain applications and architectures for port operations and logistics management
• SEMANTIC REVIEW ON SOFTWARE ARCHITECTURES FOR WEB-BASED APPLICATIONS
• Learning architectures from an extended search space for language modeling
• Neural network architectures for the detection of SYN flood attacks in IoT systems
• Learning Versatile Neural Architectures by Propagating Network Codes
• Mocktails: capturing the memory behaviour of proprietary mobile architectures
• Nanostructured architectures for biomolecular detection inside and outside the cell
• RansomListener: Ransom Call Sound Investigation Using LSTM and CNN Architectures
• Neural Network architectures to classify emotions in Indian Classical Music
• ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures
• Comparison of Convolutional Neural Network Architectures on Dermastopic Imagery
• Review on deep learning techniques for marine object recognition: Architectures and algorithms
• A survey of Life Cycle Inventory database implementations and architectures, and recommendations for new database initiatives
• Hardware/software co-exploration of neural architectures
• Immunetnas: An immune-network approach for searching convolutional neural network architectures
• Artificial Cognitive Architectures Review
• On data lake architectures and metadata management
• Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures
• Volcanic Seismic Event Classification based on CNN Architectures
• Cache Leakage Reduction Techniques for Hybrid SPM-Cache Architectures
• Fast, small, and area-time efficient architectures for key-exchange on curve25519
• SNAP: Shaping Neural Architectures Progressively via Information Density Criterion
• Comparison of convolutional neural network architectures for classification of tomato plant diseases
• Comparison of different optimizers implemented on the deep learning architectures for COVID-19 classification
• Performance Evaluation of Memory-Centric ARMv8 Many-Core Architectures: A Case Study with Phytium 2000+
• Blockchain for smart cities: A review of architectures, integration trends and future research directions
• F5: Enabling New System Architectures with 2.5 D, 3D, and Chiplets
• A Reconfigurable Branch Predictor for Spatial Computing Architectures
• Consensus Driven Self-Organization: Towards Non Hierarchical Multi-Map Architectures
• Toward New Intelligent Architectures for the Internet of Vehicles
• Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications
• Securing Microservices and Microservice Architectures: A Systematic Mapping Study
• Guest Editorial: IEEE TC Special Issue on Domain-Specific Architectures for Emerging Applications
• Efficient processing of vision kernels and deep neural networks on reconfigurable computing architectures
• … of real-time medical simulations with soft-tissue deformation: Computational approaches, interaction devices, system architectures, and clinical validations
• Parkinson’s Disease Detection with Ensemble Architectures based on ILSVRC Models
• Comparison of alternative architectures in fog computing
• Improving Architectures of Binary Signed-Digit CORDIC With Generic/Specific Initial Angles
• Multigrid-in-Channels Architectures for Wide Convolutional Neural Networks
• Between Borders and Bodies: Revealing the Architectures of Immigration Detention
• Trading off Latency for Memory Bandwidth in Spatial Architectures using the Polyhedral Model
• Improving the Designs of Nearest Neighbour Quantum Circuits for 1D and 2D Architectures
• Design-Time Optimization of Reconfigurable PV Architectures for Irregular Surfaces
• Neuroevolution of Neural Network Architectures Using CoDeepNEAT and Keras.
• Understanding Methodology for Efficient CNN Architectures in Profiling Attacks
• There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
• Comparison of RISC-V and transport triggered architectures for a post-quantum
• Guest Editorial: Special Issue on Enabling Massive IoT With 6G: Applications, Architectures, Challenges, and Research Directions
• MEMPHA: Model of Exascale Message-Passing Programs on Heterogeneous Architectures
• Quantum cnot circuits synthesis for nisq architectures using the syndrome decoding problem
• Using convolutional neural networks for recognition of objects varied in appearance in computer vision for intellectual robots
• Internet of Things Architectures: A Comparative Study
• Illumination-robust face recognition based on deep convolutional neural networks architectures
• Circuit depth reduction for gate-model quantum computers
• On tower and checkerboard neural network architectures for gene expression inference
• Audio tagging and deep architectures for acoustic scene classification: Uos submission for the DCASE 2020 challenge
• A Review of the Evolution of Deep Learning Architectures and Comparison of their Performances for Histopathologic Cancer Detection
• Applying fully convolutional architectures for semantic segmentation of a single tree species in urban environment on high resolution UAV optical imagery
• Affinitention nets: kernel perspective on attention architectures for set classification with applications to medical text and images
• Circuits and Architectures for In-Memory Computing-Based Machine Learning Accelerators
• Towards Dynamic and Partial Reconfigurable Hardware Architectures for Cryptographic Algorithms on Embedded Devices
• Nonvolatile low-cost approximate spintronic full adders for computing in memory architectures
• A Simulation Tool for Evaluating Video Streaming Architectures in Vehicular Network Scenarios
• Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography
• Detection And Classification Of Brain Tumor With Deep Learning Architectures
• Classification based scheduling in Heterogeneous ISA Architectures
• Deep learning architectures for the analysis and classification of brain tumors in MR images
• Back to the Future: Towards Hardware” Netputing” Architectures (position paper)
• GaaS-X: graph analytics accelerator supporting sparse data representation using crossbar architectures
• An Overview of Neural Network Architectures for Healthcare
• Performance Evaluation of Adversarial Examples on Deep Neural Network Architectures
• An Intuitive Extensible Framework for Implementing Cloud Broker Architectures
• Designing Convolutional Neural Network Architectures Using Cartesian Genetic
• Disentangling Neural Architectures and Weights: A Case Study in Supervised Classification
• Fine-Tuning Deep Learning Architectures for Early Detection of Oral Cancer
• Single-Cell Conventional Pap Smear Image Classification Using Pre-Trained Deep Neural Network Architectures
• Survey on the internet of vehicles: Network architectures and applications
• Low-cost computational systems applied to physical architectures in public transportation systems of intermediate cities
• Algorithms and Architectures for High Performance Kernel Adaptive Filtering
• Architectures, frameworks, and applications in IoT-based smart environment: a review
• Cache Memory Architectures for Handling Big Data Applications: A Survey
• Evaluating the Impact of Inter Process Communication in Microservice Architectures
• Security architectures for sensitive Data in Cloud Computing
• Conventional and Non-Conventional ANNs in Medical Diagnostics: A Tutorial Survey of Architectures, Algorithms, and Application
• Investigating conditional GAN performance with different generator architectures, an ensemble model, and different MR scanners for MR-sCT conversion
• Network architectures supporting learnability
• A Comparative Study of Neural Network Architectures for Lesion Segmentation and Melanoma Detection
• Decoherence dynamics estimation for superconducting gate-model quantum computers
• Efficient and Fast Hardware Architectures for SIKE Round 2 on FPGA
• Thermal management and performance enhancement of data centers architectures using aligned/staggered in-row cooling arrangements
• Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend
• Analysis and Selection of Neural Network Architectures for Recognizing Heart Diseases by Cardiogram
• Deployment of loop-intensive applications on heterogeneous multiprocessor architectures
• Generalization Capabilities of Deep Learning Architectures for Vehicle Re-Identification
• Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis
• Exploring Different Deep Learning Architectures on a Large Chest Radiograph Dataset
• Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures
• Quantum ESPRESSO toward the exascale
• Neural Architectures Design and Search for Deep Learning and Continual Learning.
• RRAM-based non-volatile SRAM cell architectures for ultra-low-power applications
• On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance
• Genome sequence alignment in processing-In-memory architectures
• MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures
• A comprehensive set of novel residual blocks for deep learning architectures for diagnosis of retinal diseases from optical coherence tomography images
• Next Generation Cloud Computing Architectures: Performance and Pricing
• Molecular Simulations of Supramolecular Architectures
• A Comprehensive Review of Deep Learning Architectures for Computer Vision Applications
• Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios
• Late Temporal Modeling in 3D CNN Architectures with BERT for Action Recognition
• Quantum circuit optimizations for NISQ architectures
• The General-Purpose Modeling, Analysis, and Implementation of Software Architectures
• Optimum resource allocation in optical wireless systems with energy-efficient fog and cloud architectures
• POSTER: An Efficient Uncertain Graph Processing Framework for Heterogeneous Architectures
• Predicting Stance Change Using Modular Architectures
• Survey of transient execution attacks
• Searching better architectures for neural machine translation
• Developments in modern gnss and its impact on autonomous vehicle architectures
• SHIELDeNN: online accelerated framework for fault-tolerant deep neural network architectures
• MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
• Melanoma classification on Dermoscopy images using Transfer learning with CNN architectures
• Automatic optic nerve head localization and cup-to-disc ratio detection using state-of-the-art deep-learning architectures
• How Cloud Computing, Artificial Intelligence and Internet of Things will Transform Energy and Utility management Architectures
• DynaCo: Dynamic Coherence Management for Tiled Manycore Architectures
• An Analysis of Deep Learning Architectures for Cancer Diagnosis
• Comparative Analysis of 5G Mobile Communication Network Architectures
• Enabling Domain-Specific Architectures with Programmable Devices
• Exploiting Process Variations to Secure Photonic NoC Architectures from Snooping Attacks
• Exploration of Optimized Semantic Segmentation Architectures for edge-Deployment on Drones
• Parallel scalability of face detection in heterogeneous multithreaded architectures
• Lung CT Screening With 3D Convolutional Neural Network Architectures
• Systematic Approach for State-of-the-Art Architectures and System-on-Chip Selection for Heterogeneous IoT Applications
• Paradigms for Effective Parallelization of Inherently Sequential Graph Algorithms on Multi-Core Architectures
• Resolving Network Defense Conflicts with Zero Trust Architectures and Other End-to-End Paradigms
• AMPLA: An Agile Process for Modeling Logical Architectures
• Architectures for enhancing bandwidth and power scalability of optical frequency combs
• Comparing the effectiveness of deep feedforward neural networks and shallow architectures for predicting stock price indices
• IoT Architectures and Its Security: A Review
• A survey of end-to-end driving: Architectures and training methods
• A survey of the recent architectures of deep convolutional neural networks
• Babel: A Generic Benchmarking Platform for Big Data Architectures
• An Area Efficient Low-Power NoC Router For Multi-core Architectures
• Healthcare 4.0: A review of frontiers in digital health
• Ephemeral Architectures: the union of concepts in the creation of an immersive experience
• The simplified fruition of inaccessible military architectures in Balkans
• On the task mapping and scheduling for DAG-based embedded vision applications on heterogeneous multi/many-core architectures
• Reliable Architectures for Composite-Field-Oriented Constructions of McEliece Post-Quantum Cryptography on FPGA
• Graph Reachability on Parallel Many-Core Architectures
• Novel deep neural network based pattern field classification architectures
• Designing carbon conductive filament memristor devices for memory and electronic synapse applications
• Design architectures for energy harvesting in the Internet of Things
• Automatic Stereo Disparity Search Range Detection on Parallel Computing Architectures
• A branch-and-bound approach to scheduling of data-parallel tasks on multi-core architectures
• Control Performance Optimization for Application Integration on Automotive Architectures
• The Design, Implementation, and Evaluation of Software and Architectural Support for Nested Virtualization on Modern Architectures
• Toward gradient bandit-based selection of candidate architectures in AutoGAN
• BDI Agent Architectures: A Survey
• Vector symbolic architectures for context-free grammars.
• Implementation of RSA Signatures on GPU and CPU Architectures
• Exploring NLMS-Based Adaptive Filter Hardware Architectures for Eliminating Power Line Interference in EEG Signals
• Performance Analysis of Accelerator Architectures and Programming Models for Parareal Algorithm Solutions of Ordinary Differential Equations
• Pods–A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment
• Architectures
• Performance optimised architectures of Piccolo block cipher for low resource IoT applications
• Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition
• IOT based Smart Architectures Journal for Research and Innovation
• Analysis of Regularization in Deep Learning Models on Testbed Architectures
• A versatile and flexible chiplet-based system design for heterogeneous manycore architectures
• Diabetic Retinopathy Detection Using Convolutional Neural Network: A Comparative Study on Different Architectures
• iMLBench: A Machine Learning Benchmark Suite for CPU-GPU Integrated Architectures
• Self-Initiated Actions Under Different Choice Architectures Affect Framing and Target Evaluation Even Without Verbal Manipulation
• Black-box systems, multi-level explanation, and cognitive architectures.
• Comparison of MobileNet and ResNet CNN Architectures in the CNN-Based Skin Cancer Classifier Model
• Project Report: Reconsidering Decoder Architectures for Road Segmentation
• Implementation of Multifunction Residue Architectures on FPGA for Cryptography Applications
• Fault-tolerant Permanent Storage for Container-based Fog Architectures
• Advanced Learning Architectures And Spatial Statistics For Beam Selection With Multi-Path
• Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps
• Paris+: Data series indexing on multi-core architectures
• Graph-based root cause analysis for service-oriented and microservice architectures
• Transfer Learning versus Custom CNN Architectures in NAFLD Biopsy Images
• Programmable metamaterials for software-defined electromagnetic control: Circuits, systems, and architectures
• Survey on Decision-Making Algorithms for Network Selection in Heterogeneous Architectures
• A study on dual-memory architectures in incremental learning
• Algorithms and Architectures for Parallel Processing: 19th International Conference, ICA3PP 2019, Melbourne, VIC, Australia, December 9–11, 2019 …
• Benchmarking deep network architectures for ethnicity recognition using a new large face dataset
• SOCIAL ENGINEERING STUDY: EXAMINING THE INFLUENCE OF CHOICE ARCHITECTURES ON TRUST AND PASSWORD PRIVACY
• Analysis and Design of Next-Generation Software Architectures
• Internet Architectures
• Device and Circuit Architectures for In‐Memory Computing
• Reference Architectures for Cloud-based Platforms: Convergence vs. Diversification.
• Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images
• Recoverability of Shipboard MVdc Architectures
• In-depth comparison of deep artificial neural network architectures on seismic events classification
• Fog Computing Architectures and Frameworks for Healthcare 4.0
• Biologically plausible neural architectures
• Formal semantics of predictable pipelines: a comparative study
• A Review on Various SRAM Architectures
• Adaptive Signal Variances: CNN Initialization Through Modern Architectures
• Internet of ships: A survey on architectures, emerging applications, and challenges
• A study of AEGIS and MI6 secure processor architectures
• Stance Detection Using Transformer Architectures and Temporal Convolutional Networks
• Demystifying Inductive Biases for -VAE Based Architectures
• Reconfigurable Domain-specific Architectures in the post-Moore’s Law World: Implications for Software Engineering
• Internet of Things: A General Overview between Architectures, Protocols and Applications
• Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications
• Attention-Based Deep Gated Fully Convolutional End-to-End Architectures for Time Series Classification
• Deep In-Memory Architectures in SRAM: An Analog Approach to Approximate Computing
• Formal Algebraic Specification of an IoT/Fog Data Centre for Fat Tree or Leaf and Spine architectures
• Developing Reliable Taxonomic Features for Data Warehouse Architectures
• Empirical Evaluation of Gated Recurrent Neural Network Architectures in Aviation Delay Prediction
• System software for resource arbitration on future many-* architectures
• Internet of things for enhanced living environments, health and well-being: technologies, architectures and systems
• Comparison of CNN Architectures using RP Algorithm for Burst Signal Detection
• The Effect of Different Deep Network Architectures upon CNN-Based Gaze Tracking
• SURVEY ON VIRTUAL LOAD BALANCING ARCHITECTURES IN MOBILE CLOUD
• Developing a photonic hardware platform for brain-inspired computing based on 5× 5 VCSEL arrays
• On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton–Jacobi partial differential equations
• Evolution of Web Systems Architectures: A Roadmap
• Runtime mechanisms to survive new HPC architectures: a use case in human respiratory simulations
• Multiphysics challenges with Heterogeneous Integrated Voltage Regulator based Power Delivery Architectures
• Optimising Network Architectures for Provable Adversarial Robustness
• Multiplexed imaging of nucleome architectures in single cells of mammalian tissue
• An Efficient Training Framework for Reversible Neural Architectures
• Portable exploitation of parallel and heterogeneous HPC architectures in neural simulation using SkePU
• Embedded computation architectures for autonomy in Unmanned Aircraft Systems (UAS)
• A machine learning approach for performance-oriented decision support in service-oriented architectures
• The fundamentals of Internet of Things: architectures, enabling technologies, and applications
• Are all deep learning architectures alike for point‐of‐care ultrasound?: evidence from a cardiac image classification model suggests otherwise
• High throughput and energy efficient FIR filter architectures using retiming and two level pipelining
• Mutual Information Decay Curves and Hyper-parameter Grid Search Design for Recurrent Neural Architectures
• Data Integration Models and Architectures for Service Alliances
• Low-complexity architectures for parallel long BCH encoders
• Blockchain for explainable and trustworthy artificial intelligence
• AXES: Approximation Manager for Emerging Memory Architectures
• “HySLAC”–A Conceptual Model for Service Level Agreement Compliance in Hybrid Cloud Architectures
• An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices.
• Resource-aware mapreduce runtime for multi/many-core architectures
• BenderNet and RingerNet: Highly efficient line segmentation deep neural network architectures for ice rink localization
• Topological exploration for the efficient design of three-dimensional Network on Chip architectures
• Developing efficient discrete simulations on multicore and GPU architectures
• A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams
• Distributed MLPerf ResNet50 Training on Intel Xeon Architectures with TensorFlow
• Safety and security assessment of overall I&C architectures (SEARCH)
• Big Data Reference Architectures, a systematic literature
• Analysis of using K-means clustering with Convolutional Neural Network Architectures for Automatic Plant Leaf Disease Recognition
• Evolvable Hardware Architectures on FPGA for Side-Channel Security
• AI on the Edge: Characterizing AI-based IoT Applications Using Specialized Edge Architectures
• Programmable Quantum Annealing Architectures with Ising Quantum Wires
• Modeling Architectures and Reference Models: Development and Maintenance Open Source ERP
• Oxide transistors: unconventional architectures and their applications
• Traffic Analysis in Support of Hybrid SDN Campus Architectures for Enhanced Cybersecurity
• Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problems
• Multi-Stage Transfer Learning System with Light-weight Architectures in Medical Image Classification
• A Review of Agency Architectures in Interactive Drama Systems
• Deep learning for electronic health records: A comparative review of multiple deep neural architectures
• Low Power Area Efficient Improved DWT and AES Architectures for Secure Image Coding
• Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
• Convolution Neural Network Architectures for Motor Imagery EEG Signal Classification
• Microservice Oriented Pipeline Architectures
• Noisy parallel hybrid model of NBGRU and NCNN architectures for remaining useful life estimation
• A New Approach to Software Effort Estimation Using Different Artificial Neural Network Architectures and Taguchi Orthogonal Arrays
• Rising from the horizon: three-dimensional functional architectures assembled with MXene nanosheets
• Adversarial BiLSTM-CRF Architectures for Extra-Propositional Scope Resolution
• A combined 3D printing/CNC micro-milling method to fabricate a large-scale microfluidic device with the small size 3D architectures: an application for tumor …
• Efficient synchronization mechanisms for scalable GPU architectures
• Mischief: A Simple Black-Box Attack Against Transformer Architectures
• A Reference Method for Performance Evaluation in Big Data Architectures
• Making the Case for Centralized Automotive E/E Architectures
• Overview of the PALM model system 6.0
• Efficient parallel implementations of sparse triangular solves for GPU architectures
• A survey on access control in IoT: models, architectures and research opportunities
• Information Systems Students’ Impressions on Learning Modeling Enterprise Architectures
• A formal hierarchy of rnn architectures
• On-Device Deep Learning Inference for System-on-Chip (SoC) Architectures
• Houston Toad and Other Chorusing Amphibian Species Call Detection Using Deep Learning Architectures
• An exact qubit allocation approach for NISQ architectures
• Directed Self-Assembly Driven Mesoscale Lithography Using Laser-Induced and Manipulated Microbubbles: Complex Architectures and Diverse Applications
• Engineering Study for Influence of Deep Neural Network Architectures on Images Recognition Quality
• Comprehensive comparison of LSM architectures for spatial data
• Exploring Heterogeneous Architectures With Tools And Applications
• A Study on Different Architectures on a 3D Garment Reconstruction Network
• Deep Learning Architectures and Tools: A Comprehensive Survey
• An information theoretic framework for classifying exoplanetary system architectures
• Fuzzy Container Orchestration for Self-adaptive Edge Architectures
• Improving scalability and reward of utility-driven self-healing for large dynamic architectures
• Comparative analysis of recurrent neural network architectures for reservoir inflow forecasting
• Strongly-ligated perovskite quantum dots with precisely controlled dimensions and architectures for white light-emitting diodes
• A classification of memory-centric computing
• Impact of New Mobility Services on Enterprise Architectures: Case Study and Problem Definition
• Critical review on various inverter topologies for PV system architectures
• Emerging social information networks applications and architectures
• End-to-end multivariate time series classification via hybrid deep learning architectures
• Dynamical Decomposition and Mapping of MPMCT Gates to Nearest Neighbor Architectures
• Research Landscape of Patterns and Architectures for IoT Security: A Systematic Review
• Complex Multiplier Architectures on VLSI
• Overcoming the curse of dimensionality for some Hamilton–Jacobi partial differential equations via neural network architectures
• Secure Boot for Reconfigurable Architectures
• HIDRA: Head Initialization across Dynamic targets for Robust Architectures
• … SENTIENT–BUILDING INFORMATION MODEL: A DIGITAL TWIN FOR THE MANAGEMENT OF MUSEUM COLLECTIONS IN HISTORICAL ARCHITECTURES
• Handling evolution in big data architectures
• Feynman-Kac Neural Network Architectures for Stochastic Control Using Second-Order FBSDE Theory
• Intelligent HTTP Request Distribution Strategies in One and Two-Layer Architectures of Cloud-Based Web Systems
• The Architectures of Geoffrey Hinton
• A Review on Deep Learning Architectures for Speech Recognition
• Designing microservice architectures for scalability and reliability in e-commerce
• New architectures of supramolecular H-bonded liquid crystal complexes based on dipyridine derivatives
• Deployment Architectures for Cyber-Physical Control Systems
• A systematic literature review on ICT architectures for smart Mauritian local council
• Vector Forward Mode Automatic Differentiation on SIMD/SIMT architectures
• RabbitMash: Accelerating hash-based genome analysis on modern multi-core architectures
• Quantum state optimization and computational pathway evaluation for gate-model quantum computers
• 5G Network Slicing: Principles, Architectures, and Challenges
• : Achieving Predictable Distributed DNN Training with Serverless Architectures
• Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning
• New Adiabatic Error Tolerant Adder I Architectures
• Evaluation of programming models for manycore and/or heterogeneous architectures for Monte Carlo neutron transport codes
• Reconfiguring DNA Nanotube Architectures via Selective Regulation of Terminating Structures
• Reproducibility model for wireless sensor networks parallel simulations
• Brian Massumi, Architectures of the Unforeseen: Essays on the Occurrent Arts
• Comparative Framework for the Analysis of Thermal and Resource Management Algorithms for Multi-Core Architectures
• Partial Differential Equations is All You Need for Generating Neural Architectures
• An Empirical Research on the Effectiveness of Different LSTM Architectures on Vietnamese Stock Market
• Orbital edge computing: Nanosatellite constellations as a new class of computer system
• Optimizing Green Energy Consumption of Fog Computing Architectures
• Comparative study of open IoT architectures with TOGAF for industry implementation
• DNSS2: improved ab initio protein secondary structure prediction using advanced deep learning architectures
• Area Efficient Functional Locking through Coarse Grained Runtime Reconfigurable Architectures
• Blueprint for a scalable photonic fault-tolerant quantum computer
• Are labels necessary for neural architecture search?
• Distinguishing computer-generated images from natural images using channel and pixel correlation
• Architectures and Applications of Internet of Things based Smart Devices
• Unitas Multiplex. Biological architectures of consciousness
• Design and Testing of Clustered Components For Modular Spacecraft Architectures
• FPGA Logic Block Architectures for Efficient Deep Learning Inference
• A case study about different network architectures in Federated Machine Learning
• Approaches for Describing Reference Architectures: A Systematic Mapping Study
• Survey on Deep Learning Architectures in Identification of Crop Pests and Diseases
• When nas meets robustness: In search of robust architectures against adversarial attacks
• Optimizing B $$^ $$-Tree Searches on Coupled CPU-GPU Architectures
• Performance analysis of mobile cloud computing architectures for mHealth app
• TNL: NUMERICAL LIBRARY FOR MODERN PARALLEL ARCHITECTURES
• Novel efficient RNN and LSTM-like architectures: Recurrent and gated broad learning systems and their applications for text classification
• Data Compression and Re-computation Based Performance Improvement in Multi-Core Architectures
• Modeling mechanical functional architectures in SysML
• Toward watermarking compressed data in columnar database architectures
• The Role of Non-Positional Arithmetic on Efficient Emerging Cryptographic Algorithms
• How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging
• Deciding on the total number of product architectures
• Classification of 40 Different Human Movements with CNN Architectures and Comparison of Their Performance
• INTERRUPTION DETECTION SYSTEM ARCHITECTURES IN MANET
• Research Progress of Zero-Shot Learning Beyond Computer Vision
• 5G Military Application Scenarios and Private Network Architectures
• Towards automated computer vision: analysis of the AutoCV challenges 2019
• Performance Management in Clustered Edge Architectures Using Particle Swarm Optimization
• High Level Transformation Techniques for Designing Reliable and Secure DSP Architectures
• A Survey on Internet of Things (IoT): Layer-Specific, Domain-Specific and Industry-Defined Architectures
• Hardware Architectures for Accelerating Machine Learning & a Deeper Dive into CUDA and Tensor Cores
• Crowdsensing architectures for smart cities
• Non-functional considerations of time-randomized processor architectures
• EvoFlow: A Python library for evolving deep neural network architectures in tensorflow
• Scalable and reliable multi-dimensional sensor data aggregation in data streaming architectures
• Why and when should you pool? Analyzing Pooling in Recurrent Architectures
• Approach for Evolving Sensing and Actuation Devices in Cyberphysical Systems Architectures
• Bioactive glass scaffold architectures regulate patterning of bone regeneration in vivo
• Using Multi-core Architectures to Improve the Performance of Real-time Dynamic Binary Instrumentation
• Towards metrics for analyzing system architectures modeled with EAST-ADL
• An intelligent anomaly detection scheme for micro-services architectures with temporal and spatial data analysis
• Low Complexity of VLSI Computational Architectures for the ACT Techniques
• Design Space Exploration of Stochastic Computing Architectures Implemented using Integrated Optics
• Sparse Sensing Architectures with Optimal Precision for Tracking Multi-agent Systems in Sensing-denied Environments
• Prosthetic architectures of the senses: museums and immersion
• Advances in Deep Learning Towards Fire Emergency Application: Novel Architectures, Techniques and Applications of Neural Networks
• Knowledge graph for identifying hazards on construction sites: Integrating computer vision with ontology
• Single-and dual-objective light-sheet microscope architectures for cleared tissues: a simulation-based performance comparison
• Optimized hybrid service brokering for multi-cloud architectures
• Cost-Driven Integration Architectures for Multi-Die Silicon Systems
• LRP-Based path relevances for global explanation of deep architectures
• SIKE’d up: Fast hardware architectures for supersingular isogeny key encapsulation
• Optimizing the Recognition and Feature Extraction of Wind Turbines through Hybrid Semantic Segmentation Architectures
• Thermal barrier coatings with novel architectures for diesel engine applications
• A Survey of Resource Management for Processing-In-Memory and Near-Memory Processing Architectures
• Possibilities and Challenges for Reconfigurable Hardware and Cloud Architectures in Data-Intensive Scientific Applications
• Improving Inference Latency and Energy of DNNs through Wireless Enabled Multi-Chip-Module-based Architectures and Model Parameters Compression
• tpSpMV: A two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures
• Large-Scale Optical Switch Architectures for Intra-Datacentre Networks
• Segmentation of 2D Echocardiography Images using Residual Blocks in U-Net Architectures
• Exploiting Cognitive Architectures to Design Storytelling Activities for NarRob
• A Maximum Concurrent Flow Technique for Optimized Data Routing in IoT Architectures
• Low-complexity deep learning and RBFN architectures for modulation classification of space-time block-code (STBC)-MIMO systems
• Nanofabrication approaches for functional three-dimensional architectures
• Evaluation of memory performance in NUMA architectures using Stochastic Reward Nets
• Reference architectures for ambient assisted living: a scoping review protocol
• Concurrent design of product and supply chain architectures for modularity and flexibility: process, methods, and application
• Bi-Directional Timing-Power Optimisation on Heterogeneous Multi-Core Architectures
• An Efficient Mobility Management Scheme for 5G Network Architectures
• Deep learning in computer vision: principles and applications
• Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation …
• 40 years of cognitive architectures: core cognitive abilities and practical applications
• Text synthesis from keywords: a comparison of recurrent-neural-network-based architectures and hybrid approaches
• Towards smart cities: challenges, components, and architectures
• A fast and scalable architecture to run convolutional neural networks in low density FPGAs
• On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
• Structural brain architectures match intrinsic functional networks and vary across domains: a study from 15 000+ individuals
• Intra-data center interconnects, networking, and architectures
• Deep learning-enabled medical computer vision
• Orthogonal persistence in nonvolatile memory architectures: A persistent heap design and its implementation for a Java Virtual Machine
• ExaWind: A multifidelity modeling and simulation environment for wind energy
• A methodology to benchmark flexible payload architectures in a megaconstellation use case
• Biomedical Data Classification with Improvised Deep Learning Architectures
• Approaches for describing reference architectures: A systematic mapping study
• Architectures for Combining Discrete-event Simulation and Machine Learning
• FineStream: Fine-Grained Window-Based Stream Processing on CPU-GPU Integrated Architectures
• Nanosatellite electrical power system architectures: Models, simulations, and tests
• Radio network planning towards 5G mmWave standalone small-cell architectures
• Impact of physical layer impairments on large ROADM architectures
• Habana labs purpose-built AI inference and training processor architectures: Scaling AI training systems using standard Ethernet with Gaudi processor
• Neuromorphic Architectures for Fast Low-Power Robot Perception, Work Unit IT015-09-41-1G25
• NAS-Bench-NLP: neural architecture search benchmark for natural language processing
• Big Data Architectures for Vehicle Data Analysis
• Compositional generalization in semantic parsing: Pre-training vs. specialized architectures
• Performance Optimization for Sparse Matrix Factorization Algorithms on Hybrid Multicore Architectures
• Identification of Sport News in Turkish Tweets Using Deep Learning Architectures
• Depicting probabilistic context awareness knowledge in deliberative architectures
• A Multi-Dimensional Configuration Algorithm for Modular Product Architectures
• Using internal micro-scale architectures from additive manufacturing to increase material efficiency
• Square disks‐based crossed architectures of SnO2 for ethanol gas sensing applications—An experimental and theoretical investigation
• End-to-end architectures for asr-free spoken language understanding
• Graph Neural Networks: Architectures, Stability, and Transferability
• Evolution of the Performance of Pipelined FFT Architectures Through the Years
• Realization of Efficient Architectures for Digital Filters: A Survey
• Three-Dimensional Ternary Hybrid Architectures Constructed from Graphene, MoS2, and Graphitic Carbon Nitride Nanosheets as Efficient Electrocatalysts for …
• Modeling temperature distribution and power consumption in IT server enclosures with row-based cooling architectures
• Caching techniques to improve latency in serverless architectures
• A review of the real-time monitoring of fluid-properties in tubular architectures for industrial applications
• FPGA Architectures for Approximate Dense SLAM Computing
• Quantum linear network coding for entanglement distribution in restricted architectures
• A review of deep learning with special emphasis on architectures, applications and recent trends
• An adaptive, utilization-based approach to schedule real-time tasks for ARM big. LITTLE architectures
• Application of various machine learning architectures for crash prediction, considering different depths and processing layers
• The upsurge of deep learning for computer vision applications
• Permeability and fluid flow-induced wall shear stress in bone scaffolds with TPMS and lattice architectures: A CFD analysis
• A comparison of vector symbolic architectures
• A Model-Based Systems Engineering Approach for the Efficient Specification of Test Rig Architectures for Flight Control Computers
• AI on the Edge: Rethinking AI-based IoT Applications Using Specialized Edge Architectures
• Total Cost of Ownership of Digital vs. Analog Radio-over-Fiber Architectures for 5G Fronthauling
• 3D Microelectronic Packaging: From Architectures to Applications
• Analysis of dependability and sustainability requirements to support the deployment of dense data center architectures
• Industry 4.0: contributions of holonic manufacturing control architectures and future challenges
• Algorithms and architectures for parallel processing
• Framing Choice Architectures
• Sorry to Bother You Again: Developer Recommendation Choice Architectures for Designing Effective Bots
• Automated design architectures for co-orbiting spacecraft swarms for planetary moon mapping
• Augmented PEEC for direct time-domain thermal and power estimation of integrated voltage regulator architectures arising in heterogeneous integration
• Formulation of Sugar/Hydrogel Inks for Rapid Thermal Response 4D Architectures with Sugar-derived Macropores
• Memory-Equipped Quantum Architectures: The Power of Random Access
• Printable smart 3D architectures of regenerated silk on poly (3-hydroxybutyrate-co-3-hydroxyvalerate)
• Sub-Connected Hybrid Precoding Architectures in Massive MIMO Systems
• Pterodactyl: Development and comparison of control architectures for a mechanically deployed entry vehicle
• Synthesis, crystallization, and molecular mobility in poly (ε-caprolactone) copolyesters of different architectures for biomedical applications studied by calorimetry and …
• Semantic architectures and dashboard creation processes within the data and analytics framework
• Precise capture and dynamic relocation of nanoparticulate biomolecules through dielectrophoretic enhancement by vertical nanogap architectures
• Colour quality parameters and enhanced white light emanation via solution combustion derived MoO3: Dy3+ micro-architectures: Fluorescent probe for sensitive …
• Ispd 2020 physical mapping of neural networks on a wafer-scale deep learning accelerator
• Deep learning architectures for accurate millimeter wave positioning in 5G
• Comparing Mask R-CNN and U-Net architectures for robust automatic segmentation of immune cells in immunofluorescence images of Lupus Nephritis biopsies
• The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications
• Analysis and design of unified architectures for zero-attraction-based sparse adaptive filters
• Helical Self-Organizations and Emerging Functions in Architectures, Biological and Synthetic Macromolecules
• Case Study of ICT Architectures for a Context-Aware System in Smart Energy Domain
• Surrogate-assisted evolutionary search of spiking neural architectures in liquid state machines
• MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
• FPGA Implementation of AES Key Expansion Algorithm in Fully Pipelined and Loop Unrolled Architectures
• Fidelity of a sequence of SWAP operations on a spin chain
• Industrial IoT Application Architectures and Use Cases
• Toward stable perovskite solar cell architectures: robustness against temperature variations of real-world conditions
• Alternative Deep Learning Architectures for Feature-Level Fusion in Human Activity Recognition
• Smart Sensor Architectures for Multimedia Sensing in IoMT
• DNN-Life: An Energy-Efficient Aging Mitigation Framework for Improving the Lifetime of On-Chip Weight Memories in Deep Neural Network Hardware Architectures
• Lidar Optical Architectures with Digital Micromirror Devices
• YaskSite: Stencil Optimization Techniques Applied to Explicit ODE Methods on Modern Architectures
• Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica
• A comparative study for the thermal conductivities of C/SiC composites with different preform architectures fabricating by flexible oriented woven process
• Harmonic emissions assessment for common DC and AC electric vehicle charging station architectures
• Activity Recognition and Anomaly Detection in E-Health Applications Using Color-Coded Representation and Lightweight CNN Architectures
• Fostering human–robot cooperative architectures for search and rescue missions in urban fires
• Hardware implementations of computer-generated holography: a review
• Hollow Pentagonal-Cone-Structured SnO2 Architectures Assembled with Nanorod Arrays for Low-Temperature Ethanol Sensing
• Towards Policy-aware Edge Computing Architectures
• Comparing deep learning architectures for sentiment analysis on drug reviews
• Matrix-free subcell residual distribution for Bernstein finite element discretizations of linear advection equations
• Analysis of Deep Neural Network Architectures and Similarity Metrics for Low-Dose CT Reconstruction
• Automated semantics-preserving parallel decomposition of finite component and connector architectures
• Structurally evolving component-port-connector architectures of centrally controlled systems
• Scalable and Efficient Hardware Architectures for Authenticated Encryption in IoT Applications
• Design of Low‐Power DRAM Cell Using Advanced FET Architectures
• Rapid fabrication of collagen bundles mimicking tumor-associated collagen architectures
• Modular Spacecraft Architectures
• Architectures and algorithms of an autonomous small-scale drilling agent
• Computer vision for covid-19 control: A survey
• Superelastic and large-range pressure sensor with hollow-sphere architectures for wearable electronic skin
• Neuro-Symbolic Architectures for Context Understanding
• The Intersection of the Genetic Architectures of Orofacial Clefts and Normal Facial Variation
• Multilevel Combinatorial Optimization across Quantum Architectures
• Prediction of pedestrian dynamics in complex architectures with artificial neural networks
• Numerical algorithms for high-performance computational science
• Review of unmanned aerial vehicle swarm communication architectures and routing protocols
• Mechanical behavior of polymeric selective laser sintered ligament and sheet based lattices of triply periodic minimal surface architectures
• Turkish Dialect Recognition Using Acoustic and Phonotactic Features in Deep Learning Architectures
• Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures
• Selective Caching: Avoiding Performance Valleys in Massively Parallel Architectures
• Machine Learning Demodulator Architectures for Power-Limited Communications
• Enlightenment architectures
• Deep learning, reusable and problem-based architectures for detection of consolidation on chest X-ray images
• Performance Evaluation of a Two-Dimensional Flood Model on Heterogeneous High-Performance Computing Architectures
• A Primer on Memory Consistency and Cache Coherence
• Machine-agnostic and Communication-aware Designs for MPI on Emerging Architectures
• Light-Activated Signaling in DNA-Encoded Sender–Receiver Architectures
• Internal Electrical Noises of BioFET Sensors Based on Various Architectures
• Novel Architectures for Contractive Autoencoders with Embedded Learning
• Exploring Machine Learning Architectures for Brain Computer Interface Systems
• Advancing the Design of Fail-Operational Architectures, Communication Modules, Electronic Components, and Systems for Future Autonomous/Automated Vehicles
• Decoding Algorithm for Quadruple-Error-Correcting Reed-Solomon Codes and its Derived Architectures
• The concept of Privacy and Standardization of Microservice Architectures in cloud computing
• Deep Learning Architectures for Named Entity Recognition: A Survey
• Enabling Hybrid Architectures and Mesh Network Topologies to Support the Global Multi-Domain Community
• SiO 2–silver Metasurface architectures for ultrasensitive and tunable Plasmonic biosensing
• From 25 Gb/s to 50 Gb/s TDM PON: transceiver architectures, their performance, standardization aspects, and cost modeling
• Model-Based Deep Encoding Based on USB Transmission for Modern Edge Computing Architectures
• Spintronics with compensated ferrimagnets
• Security architectures in wireless sensor network
• Focused Ion Beam Lithography to Etch Nano-architectures into Microelectrodes.
• Design and analysis of programming platform for accelerated gpu-like architectures
• Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures
• Bottom-up and top-down neuromorphic processor design: Unveiling roads to embedded cognition
• Neural Architectures towards Invariant Representation Learning
• The pattern theory of self in artificial general intelligence: A theoretical framework for modeling self in biologically inspired cognitive architectures
• Optimizing streaming parallelism on heterogeneous many-core architectures
• Study on the identification and the extent of decay of the wooden components in the Xichuan Guild Hall ancient architectures
• Mechanistic Insights to Degradation of PERC Minimodules with Differentiated Packaging Materials & Module Architectures
• Cloud Fog Architectures in 6G Networks
• Inertial Radio SLAM: Standalone and Collaborative Architectures
• Synthesis of MOF-on-MOF architectures in the context of interfacial lattice matching
• How to document computer networks
• Multilingual ICD-10 Code Assignment with Transformer Architectures using MIMIC-III Discharge Summaries
• A Multi-User, Single-Authentication Protocol for Smart Grid Architectures
• Performance Analysis of Speck Cipher Using Different Adder Architectures
• Evaluating system architectures for driving range estimation and charge planning for electric vehicles
• Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR)
• Opportunities for ionic liquid/ionogel gating of emerging transistor architectures
• Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures
• UV-Induced Degradation of High-Efficiency Solar Cells with Different Architectures
• Computer vision and deep learning techniques for the analysis of drone-acquired forest images, a transfer learning study
• Evaluation of Future Topologies and Architectures for High-Reliability Electrical Distribution Systems
• Efficient treatment of large active spaces through multi-GPU parallel implementation of direct configuration interaction
• A Data Access Model for Privacy-Preserving Cloud-IoT Architectures
• Universal approximation of input-output maps and dynamical systems by neural network architectures
• Optimizing Deep Learning Recommender Systems’ Training On CPU Cluster Architectures
• Efficient elliptic solvers for higher order DG discretisations on modern architectures and applications in atmospheric modelling
• Benchmarking deep learning architectures for predicting readmission to the ICU and describing patients-at-risk
• Architectures of Cloud-enabled Cyber Physical Systems—a Systematic Mapping Study
• Full body pose estimation of construction equipment using computer vision and deep learning techniques
• On line detection of defective apples using computer vision system combined with deep learning methods
• New architectures for migration governance: NAFTA and transnational activism around migrants’ rights
• A call recognition approach for endangered or threatened chorusing amphibian species using deep learning architectures
• Adaptable realization of industrial analytics functions on edge-devices using reconfigurable architectures
• ARMv8-A System Semantics: Instruction Fetch in Relaxed Architectures
• Design Space Exploration with Deterministic Latency Guarantees for Crossbar MPSoC Architectures
• HybriD-GM: parallel model for quantum computing targeted to hybrid architectures
• TeraChem: A graphical processing unit‐accelerated electronic structure package for large‐scale ab initio molecular dynamics
• Highly-Digital Architectures and Integrated Front-Ends for Multi-Antenna Ground-Penetrating Radar (GPR) Systems
• An Efficient Code-Domain NOMA Transceiver for mm-Wave Hybrid Massive MIMO Architectures
• Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures
• Availability, Integrity, and Confidentiality for Content Centric Network internet architectures
• Towards facilities for modeling and synthesis of architectures for resource allocation problem in systems engineering
• High level programming abstractions for leveraging hierarchical memories with micro-core architectures
• Demonstration of the QCCD trapped-ion quantum computer architecture
• ACCORDANT: A domain specific-model and DevOps approach for big data analytics architectures
• Evaluating single-and multi-headed neural architectures for time-series forecasting of healthcare expenditures
• The building blocks of a brain-inspired computer
• Autonomous formation of a user model based on digital footprint data in the internet space based on training multi-agent neurocognitive architectures
• Novel architectures for spectator crowd image analysis
• Cu2Se-based thermoelectric cellular architectures for efficient and durable power generation
• Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces
• Evaluating Online and Offline Accuracy Traversal Algorithms for k-Complete Neural Network Architectures
• Capturing information processes with variable domains
• 3D-Printed Ceramic Bone Scaffolds with Variable Pore Architectures
• High Level Platform for Application Specific Integrated Circuit architectures modeling
• Architectures of Body Built-In Current Sensors for Detection of Transient Faults
• Towards Optimal Architectures for Hazard Monitoring Based on Sensor Networks and Crowdsensing
• Deep SAR matrix: SAR matrix expansion for advanced analog design using deep learning architectures
• Hardware Abstractions for targeting EDDO Architectures with the Polyhedral Model
• ADEPT: a domain independent sequence alignment strategy for gpu architectures
• Iron-based metal-organic frameworks integrated into 3D printed ceramic architectures
• A Systematic Literature Review of Security Patterns and Architectures for IoT
• Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data
• Cache telepathy: Leveraging shared resource attacks to learn {DNN} architectures
• SLPal: Accelerating Long Sequence Alignment on Many-Core and Multi-Core Architectures
• Classification of Chromosomal DNA Sequences Using Hybrid Deep Learning Architectures
• Research on term extraction technology in computer field based on wireless network technology
• A universal approximation method and optimized hardware architectures for arithmetic functions based on stochastic computing
• … of spatial ontologies in the intelligent decision-making system of a mobile agricultural robot based on the self-organization of multi-agent neurocognitive architectures
• A network science-based assessment methodology for robust modular system architectures during early conceptual design
• Application of Convoluted Neural Network and Its Architectures for Fungal Plant Disease Detection
• Modelling and verification of parameterized architectures: A functional approach
• SqueezeBERT: What can computer vision teach NLP about efficient neural networks?
• Probabilistic wind power forecasting combining deep learning architectures
• A high-bandwidth and low-cost data processing approach with heterogeneous storage architectures
• Plan-Like Architectures
• CNN-LSTM deep learning architecture for computer vision-based modal frequency detection
• A Teleoperation Framework Enabling Online Switching of Various Architectures and Controllers
• Direct ink writing of 3D thermoelectric architectures for fabrication of micro power generators
• QCA Designer: A simulation and Design Layout Tool for QCA based Nano Domain Computing Architectures
• Sustainability Analysis in Data Center Dense Architectures
• Methodology for efficient CNN architectures in profiling attacks
• The architecture of computer hardware, systems software, and networking: An information technology approach
• Enabling spike-based backpropagation for training deep neural network architectures
• Computer vision system for measuring individual cow feed intake using RGB-D camera and deep learning algorithms
• Evaluating the performance of HPC-style SYCL applications
• On Routing Scalability in Flat SDN Architectures
• Code Generation for Synchronous Control Asynchronous Dataflow Architectures
• Token ring arbitration scheme for on-chip CDMA bus architectures
• Messing up the Domestic: Queer Bodies Expanding Architectures
• Efficient Hardware Architectures for 2-D BCH Codes in the Frequency Domain for Two-Dimensional Data Storage Applications
• Energy-driven design space exploration of tiling-based accelerators for heterogeneous multiprocessor architectures
• Internet of Drones: a Survey on Communications, Technologies, Protocols, Architectures and Services
• [PS][PS] IMPLEMENTING PROLOG ON MULTITHREADED ARCHITECTURES
• Cross-section bead image prediction in laser keyhole welding of AISI 1020 steel using deep learning architectures
• Considering Safety Requirements in Design Phase of Future E/E Architectures
• Towards a data-centric architecture in the automotive industry
• Exploring Applications of STT-RAM in GPU Architectures
• Identification of networking quantum teleportation on 14-qubit IBM universal quantum computer
• Photonics for artificial intelligence and neuromorphic computing
• Detection and removal of biases from brain MR images using adversarial architectures
• Enhancing Performance in Scientific Applications with Energy and Resilience Constraints from Modern Architectures
• … droplets with end-grafted polymers within Pickering emulsions versus grafting-density, solvent quality and monomer concentration and phase diagrams architectures
• Computer-inspired quantum experiments
• Wireless Localisation in WiFi using Novel Deep Architectures
• Different types of polyoxometalate-directed diverse architectures derived from the rigid ligand pyrazine-bis (triazole): assembly, electrocatalysis, and dye adsorption
• Deep learning architectures applied to wind time series multi-step forecasting
• OPTIMAL ARCHITECTURES FOR OAM BASED COMMUNICATIONS IN ATTENUATED UNDERWATER AND TURBULENT FREE-SPACE COMMUNICATIONS
• Going Cognitive: A Demonstration of the Utility of Task-General Cognitive Architectures for Adaptive Robotic Task Performance
• A computer vision based rebar detection chain for automatic processing of concrete bridge deck GPR data
• SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures
• Exploring deep spatio-temporal fusion architectures towards late temporal modeling of human action recognition
• Enclave Computing Paradigm: Hardware-assisted Security Architectures & Applications
• P‐SCADA‐A novel area and energy efficient FPGA architectures for LSTM prediction of heart arrthymias in biot applications
• Error Detection Architectures for Ring Polynomial Multiplication and Modular Reduction of Ring-LWE in Benchmarked on ASIC
• Intent Classification in Question-Answering Using LSTM Architectures
• Neural predictor for neural architecture search
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• Cross-layer methods for energy-efficient inference using in-memory architectures
• Generalizable Architectures and Principles of Informatics for Scalable Personalized and Precision Medicine (PPM) Decision Support
• On Becoming a Conspiracy Thinker: A Second-Order Adaptive Network Model
• Productivity, performance, and portability for computational fluid dynamics applications
• Big Data Applications and Architectures for Emerging Countries
• Computer Organization and Design MIPS Edition: The Hardware/Software Interface
• Tradespace Exploration of Space Settlement Architectures Using Long-term Cost and Benefit Metrics
• The effect of rod orientation on the strength of highly porous filament printed 3D SiC ceramic architectures
• Estimation of Test Data Volume for Scan Architectures with Different Numbers of Input Channels
• End-to-End Virtual Accelerators (EVA)
• Review on Mobile Web Service Architectures and Challenges
• Privacy Smells: Detecting Privacy Problems in Cloud Architectures
• A Scalable Platform for QEMU Based Fault Effect Analysis for RISC-V Hardware Architectures
• Scheduling irregular dataflow pipelines on SIMD architectures
• Termination detection for fine-grained message-passing architectures
• Feedback on the Design Processes for the Materialization of Informed Architectures
• Spatial pyramid based graph reasoning for semantic segmentation
• Siamese neural networks for EEG-based brain-computer interfaces
• 7 Classification of Diabetic Retinopathy by Applying an Ensemble of Architectures
• Fast and Scalable Sparse Triangular Solver for Multi-GPU Based HPC Architectures
• Efficient arbitrary simultaneously entangling gates on a trapped-ion quantum computer
• Computer vision based detection of external defects on tomatoes using deep learning
• A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs
• A review of computer vision technologies for plant phenotyping
• Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization
• Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architectures
• Amplifier Architectures for Wireless Communication Systems
• A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus
• Hereditary information processes with semantic modeling structures
• Law for Computer Scientists and Other Folk
• Low-latency and high-throughput software turbo decoders on multi-core architectures
• BLAZE: blazing fast privacy-preserving machine learning
• On modularity in reactive control architectures, with an application to formal verification
• Establishing the quantum supremacy frontier with a 281 pflop/s simulation
• Bridging themes: short protein segments found in different architectures
• Differential levels of dermatan sulfate generate distinct Collagen I gel architectures
• Side Channel Leakage Assessment Strategy On Attack Resistant AES Architectures
• Towards learning convolutions from scratch
• Traceability and Detection of Counterfeit Medicines in Pharmaceutical Supply Chain Using Blockchain-Based Architectures
• Detection and mitigation of DDoS attacks in SDN: A comprehensive review, research challenges and future directions
• Islamic Architectures of Self-Inclusion and Assurance in a Multicultural Society
• Preparing sparse solvers for exascale computing
• Computer-mediated communication in the age of communication visibility
• A Siren in Babylon: the spatiality and architectures of Myra/Myron
• An Identity-matching Process to Strengthen Trust in Federated-identity Architectures
• Simple Behavioral Analysis (SimBA): an open source toolkit for computer classification of complex social behaviors in experimental animals
• Architectural Strategy to Enhance the Availability Quality Attribute in System-of-Systems Architectures: a Case Study
• Variational quantum circuits for deep reinforcement learning
• Testing integrato di architetture micro front-end= Integrated testing of micro front-end architectures
• (Special Topic Submission) Enabling Domain-Specific Architectures with an Open-Source Soft-Core GPGPU
• Can microservice-based online-retailers be used as an SPL? a study of six reference architectures
• Parallel implementation of the image block representation using OpenMP
• Ultrafast machine vision with 2D material neural network image sensors
• Spintronics-based Architectures for non-von Neumann Computing
• Computer vision for behaviour-based safety in construction: A review and future directions
• Exploring deep learning architectures and reliability of several datasets to predict protein-protein interactions
• Better together: Elements of successful scientific software development in a distributed collaborative community
• QuickSampling v1. 0: a robust and simplified pixel-based multiple-point simulation approach
• Unsupervised Deep Learning Architectures
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• Game-theoretic model of data transmission in wireless networks with various architectures
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• Complexity Analysis of Hardware Architectures for Intra Prediction unit of High Efficiency Video Coding (HEVC)
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• Advanced Concepts and Architectures for Plasma-Enabled Material Processing
• Multi-Processor System-on-Chip 1: Architectures
• P‐1.2: Self‐Diver‐Intelligent‐Pixel Architectures in In‐Ga‐Zn‐O Technology for Special‐Shaped Panel
• Deep learning and deep knowledge representation in Spiking Neural Networks for Brain-Computer Interfaces
• Spin-flip methods in quantum chemistry
• Low Power Network on Chip Architectures: A Survey
• Extracting Data-Level Parallelism in High-Level Synthesis for Reconfigurable Architectures
• Automatically designing CNN architectures using the genetic algorithm for image classification
• Computer vision technology in agricultural automation—A review
• A review of computer vision–based structural health monitoring at local and global levels
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CS 3410: Advanced Topics in Computer Architecture

Tuesday and thursday, 4:00 - 5:15 pm 6516 sennott square, announcements.

01/24: Please submit a project proposal by Feb 5. You can submit earlier and/or discuss with me your ideas. The schedule lists details of what to include in the proposal.

01/24: Please volunteer to present your papers! If you haven't volunteered yet, then send me the dates that you prefer, either Feb 5 or Feb 12.

01/07: I put PDF of my introduction slides on the schedule .

Computer systems are facing many challenges today. In computer architecture, one of the most difficult current challenges relates to memory. After more than 40 years of success, the end is possibly near! It is uncertain how and whether DRAM can be scaled beyond 22nm to be reliable, power efficient and performance effective. Consequently, this has set off a race to redesign the memory hierarchy to either accommodate DRAM's problems, or replace DRAM altogether. The seminar will investigate these new memory architectures to understand their effectiveness for different workloads and execution scenarios. We will read and thoroughly discuss recent literature on the topic from leading conferences and journals. Students will present the papers and direct the discussion. In addition, students will undertake significant course projects to explore ideas related to the new memory architectures.

Course Format

This course is a "graduate seminar." It is not a lecture course. The goal of this seminar is very different from a lecture course. In this seminar, we want to explore a new topic, possibly discovering new research directions and opportunities. While the seminar will have a certain broad set of topics, it will also be flexible enough to accomodate interests of seminar participants and new ideas that we develop at the semester progresses. To be successful, this seminar will require active and regular participation by everyone. You should also be highly motivated to contribute and explore new ideas.

We will read and discuss a number of papers, averaging about 2 to 3 per week. Student participants will be responsible for presenting these papers. The course will also give students the opportunity to use a software simulator and experiment system, OCCAM, to implement new techniques for memory. (That is, a project is required in the seminar.)

Why Take the Course?

1. It's a new and exciting topic! 2. You'll get your hands dirty and get to play with cool technology! 3. You love systems programming and low level software/hardware development! 4. You have lots of ideas and can't wait to try them out! 5. You want to get involved in research right away! 6. You love a challenge and doing something creative! 7. You want to learn how to present and critically read research papers! 8. You want to see and learn how the research process works! 9. You want to learn how to write and prepare a paper for publication! 10. You reversed engineered a portion of Microsoft Windows as a kid (and then switched to Linux)!

Requirements

1. Paper presentations. Each student will do 2 to 4 presentations (depending on number of participants). The presentations will be done in PowerPoint and should be approximately 20 minutes in length (10-12 slides).

2. Seminar project. Everybody taking the course for a letter grade will do a significant project. Some topics will be suggested, but you are welcome to develop your own project.

3. Seminar participation. It is expected that everybody, regardless of letter grade or audit grading option, will attend all seminar meetings (unless sick or have a previously excused commitment) and contribute to the seminar. It's critical to read every paper beforehand.

4. Paper evaluations. We will use a "program committee" style to discuss papers; this means everybody will have to write and submit a paper review before we meet to discuss the paper.

More details about the specific requirements of the seminar will be given at the first meeting.

Grades will be determined based on three criteria:

1. Presentations - 30% of grade. 2. Project - 40% of grade. 3. Participation - 30% of grade (participation is based on #3 and #4 above).

To do well in the seminar, you need to do well in all three criteria. There are no exams or quizzes.

Review Form

Project information.

A set of possible projects will be described in class. You can also propose your own projects.

Computer Architecture Today

Computer architecture research in space.

by Brandon Lucia on May 3, 2022 | Tags: Edge Devices , Energy Harvesting , Satellites , Space systems

Today it is possible, with a little bit of planning and some careful preparation, to send your computer architecture research into space .

We are in the early days of a new space race that is making it possible to launch things to space more easily, more cheaply, and more flexibly than in even the recent past.  Computer architecture and systems research is essential to the success of this new space race.  This blog post is about how to put results from systems/architecture conferences, like ASPLOS, to work for space systems.

What’s up with space right now?

The cadence of rocket launches is increasing as a new industry of private space launches flourishes.  The size, shape, cost, and capability of things launched into space are changing.  The changes are significant and are going to enable more participation in the design, deployment, and use of space systems by people not in the space industry, per se.

To understand how things are changing, it is useful to understand how things were for a long time.  Even recently, a satellite was the size of a city bus, was designed for a cost of hundreds of millions of dollars, was to be launched and used for a single purpose, and was manually controlled from the ground by a human operator (e.g., https://landsat.gsfc.nasa.gov/satellites/landsat-9/ ). The satellite would be built primarily to collect data using a sensor. Once the data are all collected, the satellite beams them down to Earth at a few megabits per second for processing.   It’s a very cool end-to-end system: we can see the Earth from above using a space camera and use the data to respond to disasters, find missing ships at sea, optimize cities, fight forest fires (and lots of other neat applications).  Unfortunately, all that works only if that satellite happens to be looking at the right place at the right time, and only if the satellite’s operator is clued-in about what they’re looking for enough to instruct the satellite to capture the valuable data.  One important consequence of this operating model is that each different application needs its own satellite, ground equipment (with caveats), and operator, so that each satellite knows which signals to sense at each moment.

An example geospatial intelligence application identifying building footprints (marked with blue rectangles) in orbital imagery. Photo Credit: Planet, modifications by the author.

That’s how space was, but satellites are very different now than they were then.  Today, satellites can be a lot smaller.  CubeSats come in stack-ups of a “unit” size, which is a 10x10x10cm box full of whatever you want; a “3U” is 30x10x10cm.  PocketQube satellites are 5x5x5cm — 1/8th the size of a CubeSat, and stack similarly; a “3p” is 15x5x5cm.  ChipSats take the concept of a small satellite to the extreme, for instance, a 2x2cm planar device.

The Tartan-Artibeus-1 PocketQube Satellite Photo Credit: Emily Ruppel

There are lots of advantages to going small in the world of satellites.  Each satellite is much cheaper to build and launch.  Build costs include mechanical design and bigger things are trickier to make.  Commercial launch costs scale up quickly with mass and volume, and smaller devices cost less money to put on a rocket and launch.  With all of these new form factors and the now-more-pervasive availability of commercial launch services, it is possible to conceive of, design, build, and launch a 1U CubeSat or 3p PocketQube for around the price of an economy car; cost per ChipSat can be tens of dollars to design and hundreds to launch, depending on the launch format.

Another major dimension of space systems design that is changing with these new form factors is the degree to which each satellite is designed for extreme reliability.  If your satellite costs nearly a billion dollars to build and launch it had better work .  If your satellite costs five grand, then it starts to make sense to launch 10 and hope for the best.  Cheap nanosatellites allow designers to embrace quantity over quality, and leverage low-cost, widely available COTS components for many subsystems that, in monolithic satellites, would be spectacular feats of engineering with exorbitant cost.  For instance, instead of using a bespoke, radiation-hardened PowerPC RAD750 CPU that runs at 400MHz and has a “space industry price tag”, a nanosatellite can use a cheap microcontroller and other readily available hardware.

Of course there are challenges posed by simplification and shrinking of space systems.  One of the most interesting ones is the energy supply.  Satellites get energy through solar panels and store the energy in batteries (although in my lab, we are working to change this trend with batteryless satellite bus designs).  The smaller a satellite is, the smaller its solar panels are, and the less power the satellite can extract from its environment.  Deployable solar arrays can collect more power, but are undesirable because of their mechanical complexity.  Aside from energy, a satellite built around COTS components is susceptible to radiation-induced faults; here, small, cheap satellites rely on reliability through satellite-level redundancy and on already-mature “terrestrial” fault tolerance techniques.

Space Systems Make it to ASPLOS

At this point, you might rightly be wondering why you’re reading about tiny space systems on the SIGARCH blog.   The reason is that nanosatellite systems are highly-constrained edge sensing and computing systems .  Making space systems better requires answering many research questions of interest to the architecture community.  At CMU , Ph.D. student Brad Denby and I wrote a paper that we published in ASPLOS 2020 that makes clear why small satellites are a great example of constrained edge computer system design.  In our paper, we describe “Orbital Edge Computing”, which entails adding sophisticated and capable computer hardware to satellites to process sensed data locally, instead of sending any data to Earth.  The advantage to this model is that the satellite (mostly) avoids relying on communication links back to Earth.  Communication is a particularly painful bottleneck in space systems because it depends on the availability of ground stations to receive data.  Ground stations are geographically sparse, and offer only brief, low-bandwidth communication opportunities.

Orbital edge computing, on the other hand, uses on-board processing to find the interesting data, and sends down those interesting data only.  Orbital edge computing makes much better use of the fleeting communication channel by (ideally) not using it at all.  Of course, the basic edge-computing observation is not ours, and is not specific to satellites.  The same principle enables drones, sensors, mobile robots, and lots of other tiny devices to optimize their use of ultra-limited communication channels through local computing.

Space systems have several unique traits that influence the model and system design for edge computing.  The first thing is that space systems operate on pretty big data sets: 4K visual and hyperspectral imaging data collected continuously along the entire ground-track of the satellite. A satellite orbiting at 450km sees a new frame every 1.7s, and this interval effectively establishes a deadline for frame processing, which is a difficult computer systems design challenge.  Second, in tension with the data size, satellite systems are highly energy-constrained, with the need to collect all of the energy that they use to compute.  Solar panels on a 3U cubesat might collect 5-7W of power in favorable conditions.  If the system is locally rotating (which it might be right after being deployed), that power level may drop significantly.  Processing high-rate, 8K frames of hyperspectral data on a constrained power budget is a difficult computer systems design challenge.  Third, a satellite system has highly regular physical dynamics, by virtue of the simplicity of orbital mechanics. These regular dynamics affect energy supply, sensor data availability, and directly determine how a system and architecture schedules computing and actuation in a satellite.  Our orbital edge computing work argues for incorporating GNSS global positioning, and an on-board computational simulation model of orbital mechanics, energy, and computing, to give a satellite geospatial awareness.  Supporting such a model efficiently and at the right level of abstraction is a difficult computer systems design challenge.  Incorporating data size and rate, energy constraints, and orbital mechanics into a comprehensive scheduling system is a very difficult computer systems research challenge.    We are still working to solve the computer systems design challenges related to orbital edge computing.  The problem space is broad and exciting and I am hopeful that we will see more work addressing this problem at computer architecture and systems conferences..

As long as I have you reading about space systems, here are several open problems in the domain that I think are very interesting for computer systems researchers.

• Creating or adapting machine learning models that are sufficiently accurate for visual inference tasks and that also operate on a fixed energy budget, with the ability to adapt to changing energy, communication, and application timing constraints.
• Managing what we refer to as “computational nanosatellite pipelines”, or collections of nanosatellites that work together to sense data and run distributed computation on those data.
• Designing hardware, system software, and applications for highly energy constrained, highly resource constrained, multi-tenant satellite systems with sufficient performance to meet space system application demands.
• Rationing energy to meet the needs of control and actuation, despite high energy costs for actuation operations (such as pointing and station-keeping), while at the same time responding to increasing uncertainty in the control loop, stemming from integrating ML results into control computations.
• Distributing and federating the responsibility of learning machine learning models online across a constellation of satellites.  A constellation may need to maintain geospatially localized models and satellites may need to work together to learn a single model with sufficient accuracy to meet application demands; coordinating sensing, data movement, training, and coordination is a prerequisite to this goal.
• Quantifying and developing low-overhead hardware and software techniques to mitigate  faults and data errors in memory and processing components stemming from the high radiation environment in Earth’s orbit.

Is space systems research computer systems research?

Space-based sensor systems in nanosatellites are an emerging, highly constrained edge computing domain that presents a long list of interesting research problems for computer systems researchers.  This domain is in need of close cooperation and collaboration between space systems researchers and computer systems researchers.

Space systems engineers bring knowledge of the domain that amplifies the efforts of computer systems researchers: What orbital deployment parameters are realistic?  What are the physical constraints imposed on components in a satellite? What applications matter and to whom?   What costs and risks are acceptable, given the cadence and complexity of each launch?

Computer systems engineers bring edge computing and hardware/software optimization expertise that brings to bear the value of emerging small satellite platforms: What computing, communicating, and sensing can we do on a satellite’s power & energy budget? How does a high level application spec map onto a satellite constellation efficiently? What hardware is optimal given some assignment of priority to cost, mass, volume, thermal characteristics, energy consumption, and performance?

Working together to exchange answers to these basic questions, computer systems researchers can increase the impact and rate of progress for space systems researchers and space systems researchers can provide a new application domain full of interesting research challenges.  Working with an amazing collaborative group of students and faculty and CMU, we are beginning to build this bridge, culminating most recently with the Tartan-Artibeus-1 computational nanosatellite built in our lab being launched to orbit earlier this year aboard SpaceX Transporter-3.

If you are a computer systems researcher, now is a great time to get into the new space race !

Space-X Transporter-3 Rocket which shuttled a payload of nanosatellites to orbit in January 2022. Image Credit: SpaceX

About the Author: Brandon Lucia is a Professor in the Electrical and Computer Engineering Department at Carnegie Mellon University.  His lab does research on programming languages, software systems, and computer architecture, focusing especially on intermittent and physically constrained computing, with applications to energy-harvesting systems on Earth and in space.

Disclaimer: These posts are written by individual contributors to share their thoughts on the Computer Architecture Today blog for the benefit of the community. Any views or opinions represented in this blog are personal, belong solely to the blog author and do not represent those of ACM SIGARCH or its parent organization, ACM.

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100 Best Architecture Thesis Topics

One of the most important components of a great writing project like a thesis or dissertation is a great topic. Teachers often provide full lists of research ideas for students to choose from, but they also encourage students to develop original topics based on their interests. In the case of architecture, many students might have trouble coming up with architecture thesis topics that meet the requirements of a given assignment. This is why we have compiled this list of interesting and original architecture research topics for students to use at no cost. Feel free to modify them in any way to fit your assignment, make your choice and move to crafting your thesis outline .

Computer Architecture Topics for High School

• In what ways have computer design programs positively affected modern architecture?
• How do early explorations of deep-learning impact by limitations in computer architecture?
• How are the computer architectures of financial data centers at risk due to cyber-hackers?
• How are modern bridges and buildings at lesser risk of damage due to collapse?
• In what ways has computer architecture sped up the development process in third-world countries?
• Is the pendulum a real thing when it comes to architectural movements?

Great Landscape Architecture Topics

• What are the major challenges that cities face when creating and maintaining open spaces?
• What are the most common health risks that a community faces when parks are built next to water runoffs?
• How does the makeup of a neighborhood affect what landscape architectural choices are made?
• Why is it important for city centers to have natural elements such as trees and shrubs to improve air quality?
• Are natural bodies of water (like ponds and lakes) putting people at risk due to mosquito infestations?
• What is the impact of architectural open spaces in Latin American countries?

Controversial Architecture Topics

• What impact did the resurrection of New York’s Pier 55 have on the political landscape of that city?
• Discuss the legal battle that occurred between Zillow and Kate Wagner in 2017.
• Why has President Trump failed to gain financial support to build his proposed border wall?
• How are people along the Texas border negatively impacted by the construction of a border wall across their private properties?
• Why is the United States’ infrastructure at such risk do to overpopulation in major cities?
• Women in architecture have been accused of being soft, do you agree or disagree?

Dissertation Topics for Landscape Architecture

• How will the development of inclusive and safe public spaces positively impact patients with dementia?
• Will the development of more bike paths along green spaces reduce carbon emissions in urban areas?
• What is the importance of multiple small public parks in our communities?
• How can one improve the social value of groundwater in urban settings?
• In what ways can urban eco-systems be regenerated with the inclusion of green roofs and living walls?
• In what ways has bamboo architecture has changed our understanding of how strength and function together?

Computer Architecture Research Paper Topics

• How did technology change Jorn Utzon’s proposed design for what is now the world-famous Sydney Opera House?
• How is the use of technology in the design of buildings changing the role of the modern architect?
• How have computer simulations of natural disasters made today’s buildings safer?
• What are the limitations of computer simulations when it comes to presenting realistic situations?
• What are the major computer influences on architecture and design in the 21 st century?
• Describe the direction of architecture designed to withstand major disasters.

Interesting Architecture Thesis Topics

• How are inventions in lighter building materials making it easier to build larger structures?
• What are the best designs for shared accommodations like student dorms and apartments?
• What are the effects of the Internet of Things technology on the architectural design of urban settings?
• Discuss the differences between the materials that were used in ancient and modern structures.
• Which are your favorite architects of the 20 th and 21 st centuries?
• Why is outdoor footing for different climates is a growing trend in architectural design?

Architecture Ideas for a Quick Project

• How do you better utilize the space given to you for a board size concerning its size and orientation?
• In what ways can you utilize prior projects’ use of layout when working on a new development project?
• Compare and contrast the positives and negatives of modern architectural design software programs?
• How can schools utilize technological architect tools to better develop campuses in rural areas?
• What are the best design methods to maximize functional spaces in small areas?
• How has American architecture changed over the years?

Architecture Graduation Project Topics

• What are the origins of Chinese Architecture and how has it remained the dominant tradition?
• How can sunlight be used to save on energy costs in high-rise buildings in low-temp cities?
• How did medieval architecture change as military technologies advanced?
• What are the best practices that town planners can execute to maintain safe travel?
• How to utilize restaurants to revitalize urban spaces in cities impacted by Covid-19?
• What are the major benefits of investing in low-cost but high-strength buildings?

Design Thesis topics for Architecture

• Discuss the evolution of a building component of your choice and take us on a walk through history.
• According to today’s modern needs and standards, how will architecture look in a decade?
• What impact has modern architecture had on American culture?
• How have the gothic elements of medieval architecture found their way into modern design?
• What are the major differences between Aztec and Egyptian architecture of major temples?
• How did the Art-Deco style of the 1920s and the 1930s influence modern architecture?

Research Topics in Computer Architecture for College

• Are computer designers changing the traditional roles of engineering architects in the 21 st century?
• How has the invention of 3D printing technology changed the way architects can quickly change the direction of their designs?
• How has 3D printing opened up a new field of architecture that did not exist 20 years ago?
• What were the distinctive elements of 15 th century English architecture?
• How has virtual reality made an impact to design decisions made by architects and engineers?
• What are the best 3D rendering programs for aspiring architects to use today?

Architecture Thesis Topics in Sustainability

• Will sustainable agriculture stem a revolution in the architectural world?
• Can sustainable agriculture impact how NFL stadiums are built moving forward?
• How are modern buildings failing by not using cooling and heating technology?
• How did French architecture differ from English architecture in the 16 th century?
• Why has wind turbine technology waned in the last two decades?
• Can solar water heating lead to new architectural designs?

Dissertation Topics for Interior Architecture

• How has interior design shaped outdoor design in modern architecture?
• How have decorating styles changed how modern architects create indoor spaces?
• Can interior architecture use technology to sustain water in buildings?
• Are color combinations a factor in how architects design frame ideas for interior spaces?
• How are interior decorators influenced by the work of architects?
• Can exhibition spaces reflect a building’s architecture?

Master Thesis Topics in Architecture

• The causes of color change in interior designers may be influenced by outdoor architecture.
• How do light pattern decisions affect the design of outdoor architectural aspects?
• How has luxury design impacted the way modern homes are built?
• Discuss the importance of interior design to outdoor architecture.
• How did the Greek revival influence the advancements made in the Gothic revival?
• How was European architecture influenced by Islam?

Computer Architecture Topics Research Paper

• Why are major cities around the world relying on computer technologies to redesign layouts?
• What function did Roman images serve the design of ancient buildings?
• In what ways has technology helped us to understand the architecture of ancient divinations?
• Can architects recreate structures from the past using modern computer technology?
• How can computer technologies be used to modernize city infrastructures?
• How does the “form follows function” ideal of Louis Sullivan play into technology in architecture?

Current Architecture Research Paper Topics

• How can design be integrated into the university campus planning efforts?
• How are modern techniques in engineering changing the landscape for architects?
• How have the works of Alvaro Siza impacted renovation projects around the world?
• Why is small space living such a rising trend in large cities?
• Which has had a greater influence among modern artists, Portuguese or Spanish architecture?
• Are floating hotels a viable business venture in today’s architectural world?

Architecture Topics for a Long Project

• What is the importance of understanding millennial design interests?
• Why should architects be on-site for their projects?
• How does current architecture impact the way we consider rural landscapes?
• Are vernacular views of architecture imposing on traditional views?
• How are modern architectural methods influencing the building of stadiums?

More Computer Architecture Research Topics

• How can computers be used to recreate images of long-destroyed architectural marvels?
• What are the major challenges brought on by new materials and technology in architecture?
• How does technology give architects more options to consider when coming up with materials?
• How has computer architecture advanced the construction of safer bridges around the world?
• Did computer architecture play a role in the development of the Three Gorges Dam?

What do you think of this collection of architectural project topics? Our thesis writers are putting together original architectural thesis topics around the clock. And if you need a custom-list we can have that ready for you in a matter of hours. Check out our other articles and feel free to send us a message to let us know how we can help with your next academic assignment.

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