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David Gregg

Observed names: D. Gregg, Gregg, David
ORCID: 0000-0003-3782-4612
Observed ORCID: 0000-0003-3782-4612
OpenAlex ID: A5003800161
Parallel Multi Channel convolution using General Matrix Multiplication
2017 · Aravind Vasudevan, Andrew Anderson, et al. · IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP) · 159
Virtual machine showdown: Stack versus registers
2008 · Yunhe Shi, Kevin Casey, et al. · ACM Transactions on Architecture and Code Optimization · 126
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Vmgen—a generator of efficient virtual machine interpreters
2002 · M. Anton Ertl, David Gregg, et al. · Software Practice and Experience · 82
Low-memory GEMM-based convolution algorithms for deep neural networks
2017 · Anderson, Andrew, Vasudevan, Aravind, et al. · arXiv (Cornell University) · 74
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The Movidius Myriad Architecture's Potential for Scientific Computing
2015 · Mircea Horea Ionica, David Gregg · IEEE Micro · 73
Optimizing indirect branch prediction accuracy in virtual machine interpreters
2003 · M. Anton Ertl, David Gregg · ACM SIGPLAN Notices · 63
The Structure and Performance of Ecient Interpreters
2003 · M. Anton Ertl, David Gregg · 63
The Behavior of Efficient Virtual Machine Interpreters on Modern Architectures
2001 · M. Anton Ertl, David Gregg · Lecture notes in computer science · 63
The case for virtual register machines
2003 · Brian Davis, Andrew Beatty, et al. · 52
EC-Crypto: Highly Efficient Area-Delay Optimized Elliptic Curve Cryptography Processor
2023 · Khalid Javeed, Ali El-Moursy, et al. · IEEE Access · 50
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Optimizing indirect branch prediction accuracy in virtual machine interpreters
2007 · Kevin Casey, M. Anton Ertl, et al. · ACM Transactions on Programming Languages and Systems · 49
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Optimizing indirect branch prediction accuracy in virtual machine interpreters
2003 · M. Anton Ertl, David Gregg · ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) · 46
Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing
2018 · James Garland, David Gregg · ACM Transactions on Architecture and Code Optimization · 41
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High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution
2020 · Andrew Anderson, Aravind Vasudevan, et al. · International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD) · 37
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
2017 · James Garland, David Gregg · IEEE Computer Architecture Letters · 37
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Virtual machine showdown: stack versus registers
2005 · Yunhe Shi, David Gregg, et al. · ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE) · 37
Optimal DNN primitive selection with partitioned boolean quadratic programming
2018 · Andrew Anderson, David Gregg · Proceedings of the CGO/Proceedings of the ... CGO · 36
A practical solution for scripting language compilers
2009 · Paul Biggar, Edsko de Vries, et al. · ACM Symposium on Applied Computing · 35
Winograd Convolution for Deep Neural Networks: Efficient Point Selection
2022 · Syed Asad Alam, Andrew Anderson, et al. · ACM Transactions on Embedded Computing Systems · 34
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Bonseyes AI Pipeline—Bringing AI to You
2020 · Miguel De Prado, Jing Su, et al. · ACM Transactions on Internet of Things · 33
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Multiple-valued logic buses for reducing bus energy in low-power systems
2006 · E. Özer, R. Sendag, et al. · IEE Proceedings - Computers and Digital Techniques · 33
Dynamic interpretation for dynamic scripting languages
2010 · Kevin Williams, Jason McCandless, et al. · Proceedings of the CGO/Proceedings of the ... CGO · 30
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks
2020 · Barbara Barabasz, Andrew Anderson, et al. · ACM Transactions on Mathematical Software · 28
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Automatic Vectorization of Interleaved Data Revisited
2015 · Andrew Anderson, Avinash Malik, et al. · ACM Transactions on Architecture and Code Optimization · 26
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E$${^2}$$CSM: efficient FPGA implementation of elliptic curve scalar multiplication over generic prime field GF(p)
2023 · Khalid Javeed, Ali El-Moursy, et al. · The Journal of Supercomputing · 25
Works count: 166
Citation count: 2,154
H-index: 25
I10-index: 59
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