David Gregg

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 60

Top Venues

CoRR

PACT

ACM Trans. Embed. Comput. Syst.

ACM Trans. Archit. Code Optim.

Publications

Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, David Gregg, Jim Buckley, Muslim Chochlov
Using Ensemble Inference to Improve Recall of Clone Detection. CoRR (2024)
Khalid Javeed, Ali El-Moursy, David Gregg
CSM: efficient FPGA implementation of elliptic curve scalar multiplication over generic prime field GF(p). J. Supercomput. 80 (1) (2024)
Midia Reshadi, David Gregg
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. CoRR (2023)
Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, David Gregg, Jim Buckley, Muslim Chochlov
Using Ensemble Inference to Improve Recall of Clone Detection. IWSC (2023)
Midia Reshadi, David Gregg
Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators. CoRR (2023)
Khalid Javeed, Ali El-Moursy, David Gregg
EC-Crypto: Highly Efficient Area-Delay Optimized Elliptic Curve Cryptography Processor. IEEE Access 11 (2023)
Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten, Guoxian Lu, Wei Hou, David Gregg, Jim Buckley
Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection. CoRR (2023)
Syed Asad Alam, David Gregg, Giulio Gambardella, Thomas B. Preußer, Michaela Blott
On the RTL Implementation of FINN Matrix Vector Unit. ACM Trans. Embed. Comput. Syst. 22 (6) (2023)
Midia Reshadi, David Gregg
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. PDP (2023)
Kaveena Persand, Andrew Anderson, David Gregg
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. CoRR (2022)
Xiaowen Chu, Fausto Giunchiglia, Giovanni Neglia, David Gregg, Jiangchuan Liu
Guest Editorial: Introduction to the Special Section on Communication-Efficient Distributed Machine Learning. IEEE Trans. Netw. Sci. Eng. 9 (4) (2022)
Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. CoRR (2022)
Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Khalid Javeed, Kamran Saeed, David Gregg
High-speed parallel reconfigurable Fp multipliers for elliptic curve cryptography applications. Int. J. Circuit Theory Appl. 50 (4) (2022)
Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten, Guoxian Lu, Wei Hou, David Gregg, Jim Buckley
Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection. ICSME (2022)
Syed Asad Alam, David Gregg, Giulio Gambardella, Michael Preußer, Michaela Blott
On the RTL Implementation of FINN Matrix Vector Compute Unit. CoRR (2022)
Midia Reshadi, David Gregg
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators. CoRR (2022)
Syed Asad Alam, James Garland, David Gregg
Low-precision Logarithmic Number Systems: Beyond Base-2. ACM Trans. Archit. Code Optim. 18 (4) (2021)
Kaveena Persand, Andrew Anderson, David Gregg
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. AI*IA (2021)
Syed Asad Alam, James Garland, David Gregg
Low precision logarithmic number systems: Beyond base-2. CoRR (2021)
Kaveena Persand, Andrew Anderson, David Gregg
Taxonomy of Saliency Metrics for Channel Pruning. IEEE Access 9 (2021)
Midia Reshadi, David Gregg
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators. NorCAS (2021)
Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. SBAC-PAD (2020)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD (2020)
Kaveena Persand, Andrew Anderson, David Gregg
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. CoRR (2020)
Kaveena Persand, Andrew Anderson, David Gregg
Composition of Saliency Metrics for Pruning with a Myopic Oracle. SSCI (2020)
Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
Performance-Oriented Neural Architecture Search. CoRR (2020)
Yuan Wen, David Gregg
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization. CoRR (2020)
Syed Asad Alam, David Gregg
Beyond Base-2 Logarithmic Number Systems (WiP Paper). LCTES (2020)
James Garland, David Gregg
HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks. CoRR (2020)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR (2020)
Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter, David Gregg
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. ACM Trans. Math. Softw. 46 (4) (2020)
Miguel de Prado, Jing Su, Rabia Saeed, Lorenzo Keller, Noelia Vállez, Andrew Anderson, David Gregg, Luca Benini, Tim Llewellynn, Nabil Ouerhani, Rozenn Dahyot, Nuria Pazos
Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools. ACM Trans. Internet Things 1 (4) (2020)
Andrew Anderson, Michael Doyle, David Gregg
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. ARITH (2019)
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT (2019)
Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
Performance-Oriented Neural Architecture Search. HPCS (2019)
Barbara Barabasz, David Gregg
Winograd Convolution for DNNs: Beyond linear polinomials. CoRR (2019)
Kaveena Persand, Andrew Anderson, David Gregg
A Taxonomy of Channel Pruning Signals in CNNs. CoRR (2019)
Barbara Barabasz, David Gregg
Winograd Convolution for DNNs: Beyond Linear Polynomials. AI*IA (2019)
Barbara Barabasz, Andrew Anderson, David Gregg
Improving accuracy of Winograd convolution for DNNs. CoRR (2018)
James Garland, David Gregg
Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. ACM Trans. Archit. Code Optim. 15 (3) (2018)
Andrew Anderson, David Gregg
Optimal DNN primitive selection with partitioned boolean quadratic programming. CGO (2018)
Andrew Anderson, David Gregg
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. CoRR (2018)
James Garland, David Gregg
Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. CoRR (2018)
Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
Low-memory GEMM-based convolution algorithms for deep neural networks. CoRR (2017)
Aravind Vasudevan, Andrew Anderson, David Gregg
Parallel Multi Channel Convolution using General Matrix Multiplication. CoRR (2017)
Andrew Anderson, Servesh Muralidharan, David Gregg
Efficient Multibyte Floating Point Data Formats Using Vectorization. IEEE Trans. Computers 66 (12) (2017)
Aravind Vasudevan, Andrew Anderson, David Gregg
Parallel Multi Channel convolution using General Matrix Multiplication. ASAP (2017)
Andrew Anderson, David Gregg
Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming. CoRR (2017)
Aravind Vasudevan, David Gregg
Mutual Inclusivity of the Critical Path and its Partial Schedule on Heterogeneous Systems. CoRR (2017)
James Garland, David Gregg
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks. IEEE Comput. Archit. Lett. 16 (2) (2017)
Shixiong Xu, David Gregg
Bitslice Vectors: A Software Approach to Customizable Data Precision on Processors with SIMD Extensions. ICPP (2017)
Andrew Anderson, Avinash Malik, David Gregg
Automatic Vectorization of Interleaved Data Revisited. ACM Trans. Archit. Code Optim. 12 (4) (2016)
Martin Marinov, Nicholas Nash, David Gregg
Practical Algorithms for Finding Extremal Sets. ACM J. Exp. Algorithmics 21 (1) (2016)
Roman Atachiants, Gavin J. Doherty, David Gregg
Parallel Performance Problems on Shared-Memory Multicore Systems: Taxonomy and Observation. IEEE Trans. Software Eng. 42 (8) (2016)
Shixiong Xu, David Gregg
Customizable Precision of Floating-Point Arithmetic with Bitslice Vector Types. CoRR (2016)
Andrew Anderson, David Gregg
Vectorization of Multibyte Floating Point Data Formats. PACT (2016)
James Garland, David Gregg
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks. CoRR (2016)
Maria Francesca, Arthur Hughes, David Gregg
Spectral Convolution Networks. CoRR (2016)
Andrew Anderson, David Gregg
Vectorization of Multibyte Floating Point Data Formats. CoRR (2016)
Martin Marinov, Nicholas Nash, David Gregg
Practical Algorithms for Finding Extremal Sets. CoRR (2015)
Martin Marinov, David Gregg
Towards Optimal Sorting Networks: The Third Level. CoRR (2015)
Avinash Malik, David Gregg
Heuristics on Reachability Trees for Bicriteria Scheduling of Stream Graphs on Heterogeneous Multiprocessor Architectures. ACM Trans. Embed. Comput. Syst. 14 (2) (2015)
Shixiong Xu, David Gregg
Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU. TrustCom/BigDataSE/ISPA (3) (2015)
Mircea Horea Ionica, David Gregg
The Movidius Myriad Architecture's Potential for Scientific Computing. IEEE Micro 35 (1) (2015)
Martin Marinov, David Gregg
Sorting Networks: The Final Countdown. CoRR (2015)
Shixiong Xu, David Gregg
An Efficient Vectorization Approach to Nested Thread-level Parallelism for CUDA GPUs. PACT (2015)
Martin Marinov, David Gregg
Itemset Isomorphism: GI-Complete. CoRR (2015)
Shixiong Xu, David Gregg
Efficient Exploitation of Hyper Loop Parallelism in Vectorization. LCPC (2014)
Shixiong Xu, David Gregg
Semi-automatic Composition of Data Layout Transformations for Loop Vectorization. NPC (2014)
Aravind Vasudevan, Avinash Malik, David Gregg
An improved simulated annealing heuristic for static partitioning of task graphs onto heterogeneous architectures. ICPADS (2014)
Roman Atachiants, David Gregg, Kim Jarvis, Gavin J. Doherty
Design considerations for parallel performance tools. CHI (2014)
Avinash Malik, David Gregg
Orchestrating stream graphs using model checking. ACM Trans. Archit. Code Optim. 10 (3) (2013)
Servesh Muralidharan, Aravind Vasudevan, Avinash Malik, David Gregg
Heterogeneous Multiconstraint Application Partitioner (HMAP). TrustCom/ISPA/IUCC (2013)
Stephen Dolan, Servesh Muralidharan, David Gregg
Compiler support for lightweight context switching. ACM Trans. Archit. Code Optim. 9 (4) (2013)
Mounira Bachir, Sid Ahmed Ali Touati, Frederic Brault, David Gregg, Albert Cohen
Minimal Unroll Factor for Code Generation of Software Pipelining. Int. J. Parallel Program. 41 (1) (2013)
Servesh Muralidharan, Kevin Casey, David Gregg
A Parallel Runtime Framework for Communication Intensive Stream Applications. TrustCom/ISPA/IUCC (2013)
Jimmy Cleary, Owen Callanan, Mark Purcell, David Gregg
Fast asymmetric thread synchronization. ACM Trans. Archit. Code Optim. 9 (4) (2013)
Paul Biggar, Edsko de Vries, David Gregg
A practical solution for achieving language compatibility in scripting language compilers. Sci. Comput. Program. 77 (9) (2012)
Jason McCandless, David Gregg
Compiler techniques to improve dynamic branch prediction for indirect jump and call instructions. ACM Trans. Archit. Code Optim. 8 (4) (2012)
Mark Purcell, Aravind Vasudevan, David Gregg
Real-Time Sensor Signal Capture from a Harsh Environment. DS-RT (2012)
Jason McCandless, David Gregg
Optimizing interpreters by tuning opcode orderings on virtual machines for modern architectures: or: how I learned to stop worrying and love hill climbing. PPPJ (2011)
Nicholas Nash, David Gregg
Comparing integer data structures for 32- and 64-bit keys. ACM J. Exp. Algorithmics 15 (2010)
Raymond Manley, Paul Magrath, David Gregg
Code generation for hardware accelerated AES. ASAP (2010)
Raymond Manley, David Gregg
A Program Generator for Intel AES-NI Instructions. INDOCRYPT (2010)
Milan Tichý, Jan Schier, David Gregg
GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems. ACM Trans. Embed. Comput. Syst. 9 (3) (2010)
Kevin Williams, Jason McCandless, David Gregg
Dynamic interpretation for dynamic scripting languages. CGO (2010)
Nicholas Nash, David Gregg
An output sensitive algorithm for computing a maximum independent set of a circle graph. Inf. Process. Lett. 110 (16) (2010)
Mark Purcell, Owen Callanan, David Gregg
Streamlining Offload Computing to High Performance Architectures. ICCS (1) (2009)
Raymond Manley, David Gregg
Mapping Streaming Languages to General Purpose Processors through Vectorization. LCPC (2009)
Kevin Williams, Jason McCandless, David Gregg
Portable Just-in-Time Specialization of Dynamically Typed Scripting Languages. LCPC (2009)
Paul Biggar, Edsko de Vries, David Gregg
A practical solution for scripting language compilers. SAC (2009)
Mounira Bachir, David Gregg, Sid Ahmed Ali Touati
Using the Meeting Graph Framework to Minimise Kernel Loop Unrolling for Scheduled Loops. LCPC (2009)
Nicholas Nash, David Gregg
Comparing Integer Data Structures for 32 and 64 Bit Keys. WEA (2008)
Emre Özer, Andy Nisbet, David Gregg
A stochastic bitwidth estimation technique for compact and low-power custom processors. ACM Trans. Embed. Comput. Syst. 7 (3) (2008)
Nicholas Nash, Sylvain Lelait, David Gregg
Efficiently implementing maximum independent set algorithms on circle graphs. ACM J. Exp. Algorithmics 13 (2008)
Kevin Williams, Albert Noll, Andreas Gal, David Gregg
Optimization strategies for a java virtual machine interpreter on the cell broadband engine. Conf. Computing Frontiers (2008)
Yunhe Shi, Kevin Casey, M. Anton Ertl, David Gregg
Virtual machine showdown: Stack versus registers. ACM Trans. Archit. Code Optim. 4 (4) (2008)
Paul Biggar, Nicholas Nash, Kevin Williams, David Gregg
An experimental study of sorting and branch prediction. ACM J. Exp. Algorithmics 12 (2008)
Kevin Casey, M. Anton Ertl, David Gregg
Optimizing indirect branch prediction accuracy in virtual machine interpreters. ACM Trans. Program. Lang. Syst. 29 (6) (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

David Gregg