David Gregg

David Gregg

Trinity College

H-index: 24

North America-United States

About David Gregg

David Gregg, With an exceptional h-index of 24 and a recent h-index of 15 (since 2020), a distinguished researcher at Trinity College, specializes in the field of Compilers, computer architecture, low power computing, embedded machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

ECSM: efficient FPGA implementation of elliptic curve scalar multiplication over generic prime field GF(p)

Using Ensemble Inference to Improve Recall of Clone Detection

Common Practices in Fixing Open Source Related Vulnerabilities

On the RTL Implementation of FINN Matrix Vector Unit

Ec-crypto: Highly efficient area-delay optimized elliptic curve cryptography processor

Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators

Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator

Winograd convolution for deep neural networks: Efficient point selection

David Gregg Information

University

Position

Professor in Computer Science Lero

Citations(all)

2416

Citations(since 2020)

944

Cited By

1826

hIndex(all)

24

hIndex(since 2020)

15

i10Index(all)

60

i10Index(since 2020)

27

Email

University Profile Page

Trinity College

Google Scholar

View Google Scholar Profile

David Gregg Skills & Research Interests

Compilers

computer architecture

low power computing

embedded machine learning

Top articles of David Gregg

Title

Journal

Author(s)

Publication Date

ECSM: efficient FPGA implementation of elliptic curve scalar multiplication over generic prime field GF(p)

The Journal of Supercomputing

Khalid Javeed

Ali El-Moursy

David Gregg

2024/1

Using Ensemble Inference to Improve Recall of Clone Detection

Gul Aftab Ahmed

James Vincent Patten

Yuanhua Han

Guoxian Lu

David Gregg

...

2023/10/1

Common Practices in Fixing Open Source Related Vulnerabilities

Gul Aftab Ahmed

Muslim Chochlov

David Gregg

Jim Buckley

James Vincent Patten

2023/1/14

On the RTL Implementation of FINN Matrix Vector Unit

ACM Transactions on Embedded Computing Systems

Syed Asad Alam

David Gregg

Giulio Gambardella

Thomas Preusser

Michaela Blott

2023/11/9

Ec-crypto: Highly efficient area-delay optimized elliptic curve cryptography processor

IEEE Access

Khalid Javeed

Ali El-Mursy

David Gregg

2023/6/5

Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators

arXiv preprint arXiv:2303.15199

Midia Reshadi

David Gregg

2023/3/27

Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator

Midia Reshadi

David Gregg

2023/3/1

Winograd convolution for deep neural networks: Efficient point selection

ACM Transactions on Embedded Computing Systems

Syed Asad Alam

Andrew Anderson

Barbara Barabasz

David Gregg

2022/12/12

Using a nearest-neighbour, BERT-based approach for scalable clone detection

Muslim Chochlov

Gul Aftab Ahmed

James Vincent Patten

Guoxian Lu

Wei Hou

...

2022/10/3

Guest Editorial: Introduction to the Special Section on Communication-Efficient Distributed Machine Learning

IEEE Transactions on NanoBioscience

Jin-Woo Kim

Jangho Kim

Deok-Ho Kim

2016/12

High‐speed parallel reconfigurable Fp multipliers for elliptic curve cryptography applications

International Journal of Circuit Theory and Applications

Khalid Javeed

Kamran Saeed

David Gregg

2022/4

On the RTL implementation of FINN matrix vector compute unit

arXiv preprint arXiv:2201.11409

Syed Asad Alam

David Gregg

Giulio Gambardella

Thomas Preusser

Michaela Blott

2022/1/27

Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information

Kaveena Persand

Andrew Anderson

David Gregg

2021/12/1

LOCAL: Low-complex mapping algorithm for spatial dnn accelerators

Midia Reshadi

David Gregg

2021/10/26

Taxonomy of saliency metrics for channel pruning

IEEE Access

Kaveena Persand

Andrew Anderson

David Gregg

2021/8/27

Low-precision logarithmic number systems: beyond base-2

ACM Transactions on Architecture and Code Optimization (TACO)

Syed Asad Alam

James Garland

David Gregg

2021/7/16

Building SSA in a Compiler for PHP

Paul Biggar

David Gregg

2021/6/12

Composition of saliency metrics for pruning with a myopic oracle

Kaveena Persand

Andrew Anderson

David Gregg

2020/12/1

HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks.

arXiv preprint arXiv:2007.06563

James Garland

David Gregg

2020/7

Exploiting weight redundancy in CNNs: Beyond pruning and quantization

arXiv preprint arXiv:2006.11967

Yuan Wen

David Gregg

2020/6/22

See List of Professors in David Gregg University(Trinity College)

Co-Authors

H-index: 39
Gavin Doherty

Gavin Doherty

Trinity College

H-index: 29
Mike Peardon

Mike Peardon

Trinity College

H-index: 27
Simon Wilson

Simon Wilson

Trinity College

H-index: 26
James F. Power

James F. Power

Maynooth University

H-index: 25
Andreas Krall

Andreas Krall

Technische Universität Wien

H-index: 21
Shuxiang Xu

Shuxiang Xu

University of Tasmania

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