Faculty

Institution

Unit

Venue

David Andrews

Professor

University of Arkansas

Affiliations

College of Engineering

Computer Science and Computer Engineering

David Andrews is currently serving as a College Of Engineering Professor at University of Arkansas.

Honors

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Experiences

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Education

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David Andrews

University of Arkansas

Professor

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computer science computer engineering computer architecture systems engineering parallel computing field programmable gate array embedded systems fpga design high performance computer architecture reconfigurable architectures machine learning hardware acceleration design automation parallel programming system software electrical engineering hardware architecture distributed systems processor architectures embedded architecture domain-specific accelerator performance evaluation cloud computing software design accelerator technology pattern recognition vlsi circuit parallel processing sorting algorithms power electronics automatic control multithreading (computer architecture) control architecture scalable computing reconfigurable computing simd processor array machine vision scientific computing computer graphics gesture recognition system on chip particle accelerators accelerator physics modular design hardware-software co-design hardware microkernels performance evaluation tool heterogeneous reconfigurable systems kyber cryptographic algorithm vehicular technology industrial informatics human-computer interaction naval architecture micro-electromechanical systems performance assessment runtime systems accelerated design high-throughput computing recurrent neural networks sensor technology rehabilitation robotics sensor arrays streaming data streaming algorithms data stream management stream processing data streams cloud automation configurable computing reconfigurable devices uniform programming model run-time services rtos use embedded systems evolution hardware microkernel masked pure-hardware implementation

Notable Scholarly Works

Notable Federal Grants

Collaborators

Resource Scheduling for Real-Time Machine Learning. (2025)

Suyash Vardhan SinghIftakhar AhmadDavid AndrewsMiaoqing HuangAustin R. J. DowneyJason D. Bakos

computer sciencemachine learningreal-time machine learning

A Runtime-Adaptive Transformer Neural Network Accelerator on Fpgas. arXiv (Cornell University) (2024)

Kabir, EhsanDowney, Austin R. J.Bakos, Jason D.Andrews, DavidHuang, Miaoqing

neural network (machine learning)fpga designcomputer engineeringhardware accelerationneural computationfield programmable gate arraycomputer science

FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on Ultrascale+ Fpgas. (2024)

attention mechanismreconfigurable architectureshardware algorithmmicroarchitecturefpga designcomputer engineeringflexible acceleratorhardware accelerationcomputer architecturehigh performance computer architecturefield programmable gate arrayultrascale+ fpgasdomain-specific acceleratorinstrumentation

FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on Ultrascale+ Fpgas. arXiv (Cornell University) (2024)

Kabir, EhsanKabir, Md. ArafatDowney, Austin R. J.Bakos, Jason D.Andrews, DavidHuang, Miaoqing

attention mechanismfpga designcomputer engineeringparallel computinghardware accelerationflexible acceleratorfield programmable gate arraycomputer science

IMAGINE: An In-Memory Accelerated Gemv Engine Overlay. (2024)

scalabilityhigh-performance architecturesmicroarchitecturecomputer engineeringparallel computinghardware accelerationcomputer architecturehigh performance computer architecturesystem softwarecomputer scienceparallel programming

IMAGINE: An In-Memory Accelerated Gemv Engine Overlay. arXiv (Cornell University) (2024)

Kabir, MD ArafatKamucheka, TendayiFredricks, NathanielMandebi, JoelBakos, JasonHuang, MiaoqingAndrews, David

computer engineeringparallel computinghardware accelerationin-memory computingcomputer science

Ph.D. Project: A Compiler-Driven Approach to Hw/Sw Co-Design of Deep-Learning Accelerators. (2024)

Tendayi KamuchekaDavid Andrews

deep learningdeep-learning acceleratorscomputer engineering

The Bram is the Limit: Shattering Myths, Shaping Standards, and Building Scalable Pim Accelerators. IEEE Symposium on Field-Programmable Custom Computing Machines (2024)

MD Arafat KabirTendayi KamuchekaNathaniel FredricksJoel MandebiJason BakosMiaoqing HuangDavid Andrews

high-performance architecturescomputer engineeringparallel computinghardware accelerationcomputer science

Accelerating LSTM-Based High-Rate Dynamic System Models. (2023)

Ehsan KabirDaniel CobleJoud N. SatmeAustin R.J. DowneyJason D. BakosDavid AndrewsMiaoqing Huang

modeling and simulationsystems engineering

Fpga Processor in Memory Architectures (Pims): Overlay or Overhaul ?. arXiv (Cornell University) (2023)

memory architecturesmicroarchitecturecomputer engineeringparallel computingcomputer architecturemulti-channel memory architecturehigh performance computer architecturefield programmable gate arrayfpga processorcomputer sciencearchitectural supportprocessor architectures

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David Andrews

Professor

University of Arkansas

Affiliations

College of Engineering

Computer Science and Computer Engineering

David Andrews is currently serving as a College Of Engineering Professor at University of Arkansas.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

David Andrews

University of Arkansas

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Resource Scheduling for Real-Time Machine Learning. (2025)

Suyash Vardhan SinghIftakhar AhmadDavid AndrewsMiaoqing HuangAustin R. J. DowneyJason D. Bakos

computer sciencemachine learningreal-time machine learning

A Runtime-Adaptive Transformer Neural Network Accelerator on Fpgas. arXiv (Cornell University) (2024)

Kabir, EhsanDowney, Austin R. J.Bakos, Jason D.Andrews, DavidHuang, Miaoqing

neural network (machine learning)fpga designcomputer engineeringhardware accelerationneural computationfield programmable gate arraycomputer science

FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on Ultrascale+ Fpgas. (2024)

FAMOUS: Flexible Accelerator for the Attention Mechanism of Transformer on Ultrascale+ Fpgas. arXiv (Cornell University) (2024)

Kabir, EhsanKabir, Md. ArafatDowney, Austin R. J.Bakos, Jason D.Andrews, DavidHuang, Miaoqing

attention mechanismfpga designcomputer engineeringparallel computinghardware accelerationflexible acceleratorfield programmable gate arraycomputer science

IMAGINE: An In-Memory Accelerated Gemv Engine Overlay. (2024)

IMAGINE: An In-Memory Accelerated Gemv Engine Overlay. arXiv (Cornell University) (2024)

Kabir, MD ArafatKamucheka, TendayiFredricks, NathanielMandebi, JoelBakos, JasonHuang, MiaoqingAndrews, David

computer engineeringparallel computinghardware accelerationin-memory computingcomputer science

Ph.D. Project: A Compiler-Driven Approach to Hw/Sw Co-Design of Deep-Learning Accelerators. (2024)

Tendayi KamuchekaDavid Andrews

deep learningdeep-learning acceleratorscomputer engineering

The Bram is the Limit: Shattering Myths, Shaping Standards, and Building Scalable Pim Accelerators. IEEE Symposium on Field-Programmable Custom Computing Machines (2024)

MD Arafat KabirTendayi KamuchekaNathaniel FredricksJoel MandebiJason BakosMiaoqing HuangDavid Andrews

high-performance architecturescomputer engineeringparallel computinghardware accelerationcomputer science

Accelerating LSTM-Based High-Rate Dynamic System Models. (2023)

Ehsan KabirDaniel CobleJoud N. SatmeAustin R.J. DowneyJason D. BakosDavid AndrewsMiaoqing Huang

modeling and simulationsystems engineering

Fpga Processor in Memory Architectures (Pims): Overlay or Overhaul ?. arXiv (Cornell University) (2023)

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resource management

design automation

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design automation

embedded system security

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supercomputer architecture

high performance computing

Srinivas Katkoori

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design for testing

design automation

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hardware algorithm

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