David Gregg - RankMe

150 papers A* 3A 6B 15C 7Misc 5Journal 79Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AT-NTT: Area-time efficient polynomial multiplication architecture for CRYSTALS-Kyber. Comput. Electr. Eng. Khalid Javeed, David Gregg
2026	J	`jnl`	Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models. CoRR Moule Lin, Shuhao Guan, Andrea Patane, David Gregg, Goetz Botterweck
2025	Misc	`conf`	Efficient Adaptable Streaming Aggregation Engine. FCCM Philippos Papaphilippou, Wayne Luk, David Gregg
2025	J	`jnl`	Efficient Number Theoretic Transform Architecture for CRYSTALS-Kyber. IEEE Trans. Circuits Syst. II Express Briefs Khalid Javeed, David Gregg
2025	A	`conf`	Industrial-Scale Neural Network Clone Detection with Disk-Based Similarity Search. SANER Gul Aftab Ahmed, Muslim Chochlov, Abdul Razzaq, James Vincent Patten, Yuanhua Han, Guoxian Lu, Jim Buckley, David Gregg
2025	J	`jnl`	Industrial-Scale Neural Network Clone Detection with Disk-Based Similarity Search. CoRR Gul Aftab Ahmed, Muslim Chochlov, Abdul Razzaq, James Vincent Patten, Yuanhua Han, Guoxian Lu, Jim Buckley, David Gregg
2025	J	`jnl`	Selecting and Combining Large Language Models for Scalable Code Clone Detection. CoRR Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, David Gregg, Jim Buckley
2024	J	`jnl`	E J. Supercomput. Khalid Javeed, Ali El-Moursy, David Gregg
2024	J	`jnl`	GMC-crypto: Low latency implementation of ECC point multiplication for generic Montgomery curves over GF(p). J. Parallel Distributed Comput. Khalid Javeed, Yasir Ali Shah, David Gregg
2024	J	`jnl`	Nearest-neighbor, BERT-based, scalable clone detection: A practical approach for large-scale industrial code bases. Softw. Pract. Exp. Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, Wei Hou, David Gregg, Jim Buckley, Muslim Chochlov
2024	J	`jnl`	Point Multiplication Accelerator for Arbitrary Montgomery Curves. IEEE Embed. Syst. Lett. Khalid Javeed, David Gregg
2024	J	`jnl`	Using Ensemble Inference to Improve Recall of Clone Detection. CoRR Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, David Gregg, Jim Buckley, Muslim Chochlov
2023	C	`conf`	Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. PDP Midia Reshadi, David Gregg
2023	J	`jnl`	Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. CoRR Midia Reshadi, David Gregg
2023	J	`jnl`	EC-Crypto: Highly Efficient Area-Delay Optimized Elliptic Curve Cryptography Processor. IEEE Access Khalid Javeed, Ali El-Moursy, David Gregg
2023	J	`jnl`	Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators. CoRR Midia Reshadi, David Gregg
2023	J	`jnl`	On the RTL Implementation of FINN Matrix Vector Unit. ACM Trans. Embed. Comput. Syst. Syed Asad Alam, David Gregg, Giulio Gambardella, Thomas B. Preußer, Michaela Blott
2023	—	`conf`	Using Ensemble Inference to Improve Recall of Clone Detection. IWSC Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, David Gregg, Jim Buckley, Muslim Chochlov
2023	J	`jnl`	Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection. CoRR Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten, Guoxian Lu, Wei Hou, David Gregg, Jim Buckley
2022	—	`ch.`	Building SSA in a Compiler for PHP. SSA-based Compiler Design Paul Biggar, David Gregg
2022	J	`jnl`	Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. CoRR Kaveena Persand, Andrew Anderson, David Gregg
2022	J	`jnl`	Guest Editorial: Introduction to the Special Section on Communication-Efficient Distributed Machine Learning. IEEE Trans. Netw. Sci. Eng. Xiaowen Chu, Fausto Giunchiglia, Giovanni Neglia, David Gregg, Jiangchuan Liu
2022	J	`jnl`	High-speed parallel reconfigurable Fp multipliers for elliptic curve cryptography applications. Int. J. Circuit Theory Appl. Khalid Javeed, Kamran Saeed, David Gregg
2022	J	`jnl`	LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators. CoRR Midia Reshadi, David Gregg
2022	J	`jnl`	On the RTL Implementation of FINN Matrix Vector Compute Unit. CoRR Syed Asad Alam, David Gregg, Giulio Gambardella, Michael Preußer, Michaela Blott
2022	A	`conf`	Using a Nearest-Neighbour, BERT-Based Approach for Scalable Clone Detection. ICSME Muslim Chochlov, Gul Aftab Ahmed, James Vincent Patten, Guoxian Lu, Wei Hou, David Gregg, Jim Buckley
2022	J	`jnl`	Winograd Convolution for Deep Neural Networks: Efficient Point Selection. CoRR Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
2022	J	`jnl`	Winograd Convolution for Deep Neural Networks: Efficient Point Selection. ACM Trans. Embed. Comput. Syst. Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg
2021	—	`conf`	Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. AI*IA Kaveena Persand, Andrew Anderson, David Gregg
2021	—	`conf`	LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators. NorCAS Midia Reshadi, David Gregg
2021	J	`jnl`	Low precision logarithmic number systems: Beyond base-2. CoRR Syed Asad Alam, James Garland, David Gregg
2021	J	`jnl`	Low-precision Logarithmic Number Systems: Beyond Base-2. ACM Trans. Archit. Code Optim. Syed Asad Alam, James Garland, David Gregg
2021	J	`jnl`	Taxonomy of Saliency Metrics for Channel Pruning. IEEE Access Kaveena Persand, Andrew Anderson, David Gregg
2020	B	`conf`	Beyond Base-2 Logarithmic Number Systems (WiP Paper). LCTES Syed Asad Alam, David Gregg
2020	J	`jnl`	Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools. ACM Trans. Internet Things 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
2020	J	`jnl`	Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. CoRR Kaveena Persand, Andrew Anderson, David Gregg
2020	—	`conf`	Composition of Saliency Metrics for Pruning with a Myopic Oracle. SSCI Kaveena Persand, Andrew Anderson, David Gregg
2020	J	`jnl`	Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. ACM Trans. Math. Softw. Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter, David Gregg
2020	J	`jnl`	Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization. CoRR Yuan Wen, David Gregg
2020	J	`jnl`	HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks. CoRR James Garland, David Gregg
2020	C	`conf`	High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. SBAC-PAD Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
2020	J	`jnl`	Performance-Oriented Neural Architecture Search. CoRR Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
2020	C	`conf`	TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2020	J	`jnl`	TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2019	J	`jnl`	A Taxonomy of Channel Pruning Signals in CNNs. CoRR Kaveena Persand, Andrew Anderson, David Gregg
2019	B	`conf`	POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg
2019	—	`conf`	Performance-Oriented Neural Architecture Search. HPCS Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg
2019	C	`conf`	Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. ARITH Andrew Anderson, Michael Doyle, David Gregg
2019	—	`conf`	Winograd Convolution for DNNs: Beyond Linear Polynomials. AI*IA Barbara Barabasz, David Gregg
2019	J	`jnl`	Winograd Convolution for DNNs: Beyond linear polinomials. CoRR Barbara Barabasz, David Gregg
2018	J	`jnl`	Improving accuracy of Winograd convolution for DNNs. CoRR Barbara Barabasz, Andrew Anderson, David Gregg
2018	J	`jnl`	Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. CoRR James Garland, David Gregg
2018	J	`jnl`	Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. ACM Trans. Archit. Code Optim. James Garland, David Gregg
2018	A	`conf`	Optimal DNN primitive selection with partitioned boolean quadratic programming. CGO Andrew Anderson, David Gregg
2018	J	`jnl`	Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. CoRR Andrew Anderson, David Gregg
2017	B	`conf`	Bitslice Vectors: A Software Approach to Customizable Data Precision on Processors with SIMD Extensions. ICPP Shixiong Xu, David Gregg
2017	J	`jnl`	Efficient Multibyte Floating Point Data Formats Using Vectorization. IEEE Trans. Computers Andrew Anderson, Servesh Muralidharan, David Gregg
2017	J	`jnl`	Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks. IEEE Comput. Archit. Lett. James Garland, David Gregg
2017	J	`jnl`	Low-memory GEMM-based convolution algorithms for deep neural networks. CoRR Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg
2017	J	`jnl`	Mutual Inclusivity of the Critical Path and its Partial Schedule on Heterogeneous Systems. CoRR Aravind Vasudevan, David Gregg
2017	J	`jnl`	Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming. CoRR Andrew Anderson, David Gregg
2017	J	`jnl`	Parallel Multi Channel Convolution using General Matrix Multiplication. CoRR Aravind Vasudevan, Andrew Anderson, David Gregg
2017	—	`conf`	Parallel Multi Channel convolution using General Matrix Multiplication. ASAP Aravind Vasudevan, Andrew Anderson, David Gregg
2016	J	`jnl`	Automatic Vectorization of Interleaved Data Revisited. ACM Trans. Archit. Code Optim. Andrew Anderson, Avinash Malik, David Gregg
2016	J	`jnl`	Customizable Precision of Floating-Point Arithmetic with Bitslice Vector Types. CoRR Shixiong Xu, David Gregg
2016	J	`jnl`	Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks. CoRR James Garland, David Gregg
2016	J	`jnl`	Parallel Performance Problems on Shared-Memory Multicore Systems: Taxonomy and Observation. IEEE Trans. Software Eng. Roman Atachiants, Gavin J. Doherty, David Gregg
2016	J	`jnl`	Practical Algorithms for Finding Extremal Sets. ACM J. Exp. Algorithmics Martin Marinov, Nicholas Nash, David Gregg
2016	J	`jnl`	Spectral Convolution Networks. CoRR Maria Francesca, Arthur Hughes, David Gregg
2016	B	`conf`	Vectorization of Multibyte Floating Point Data Formats. PACT Andrew Anderson, David Gregg
2016	J	`jnl`	Vectorization of Multibyte Floating Point Data Formats. CoRR Andrew Anderson, David Gregg
2015	B	`conf`	An Efficient Vectorization Approach to Nested Thread-level Parallelism for CUDA GPUs. PACT Shixiong Xu, David Gregg
2015	—	`conf`	Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU. TrustCom/BigDataSE/ISPA (3) Shixiong Xu, David Gregg
2015	J	`jnl`	Heuristics on Reachability Trees for Bicriteria Scheduling of Stream Graphs on Heterogeneous Multiprocessor Architectures. ACM Trans. Embed. Comput. Syst. Avinash Malik, David Gregg
2015	J	`jnl`	Itemset Isomorphism: GI-Complete. CoRR Martin Marinov, David Gregg
2015	J	`jnl`	Practical Algorithms for Finding Extremal Sets. CoRR Martin Marinov, Nicholas Nash, David Gregg
2015	J	`jnl`	Sorting Networks: The Final Countdown. CoRR Martin Marinov, David Gregg
2015	J	`jnl`	The Movidius Myriad Architecture's Potential for Scientific Computing. IEEE Micro Mircea Horea Ionica, David Gregg
2015	J	`jnl`	Towards Optimal Sorting Networks: The Third Level. CoRR Martin Marinov, David Gregg
2014	B	`conf`	An improved simulated annealing heuristic for static partitioning of task graphs onto heterogeneous architectures. ICPADS Aravind Vasudevan, Avinash Malik, David Gregg
2014	A*	`conf`	Design considerations for parallel performance tools. CHI Roman Atachiants, David Gregg, Kim Jarvis, Gavin J. Doherty
2014	—	`conf`	Efficient Exploitation of Hyper Loop Parallelism in Vectorization. LCPC Shixiong Xu, David Gregg
2014	C	`conf`	Semi-automatic Composition of Data Layout Transformations for Loop Vectorization. NPC Shixiong Xu, David Gregg
2013	—	`conf`	A Parallel Runtime Framework for Communication Intensive Stream Applications. TrustCom/ISPA/IUCC Servesh Muralidharan, Kevin Casey, David Gregg
2013	J	`jnl`	Compiler support for lightweight context switching. ACM Trans. Archit. Code Optim. Stephen Dolan, Servesh Muralidharan, David Gregg
2013	J	`jnl`	Fast asymmetric thread synchronization. ACM Trans. Archit. Code Optim. Jimmy Cleary, Owen Callanan, Mark Purcell, David Gregg
2013	—	`conf`	Heterogeneous Multiconstraint Application Partitioner (HMAP). TrustCom/ISPA/IUCC Servesh Muralidharan, Aravind Vasudevan, Avinash Malik, David Gregg
2013	J	`jnl`	Minimal Unroll Factor for Code Generation of Software Pipelining. Int. J. Parallel Program. Mounira Bachir, Sid Ahmed Ali Touati, Frederic Brault, David Gregg, Albert Cohen
2013	J	`jnl`	Orchestrating stream graphs using model checking. ACM Trans. Archit. Code Optim. Avinash Malik, David Gregg
2012	J	`jnl`	A practical solution for achieving language compatibility in scripting language compilers. Sci. Comput. Program. Paul Biggar, Edsko de Vries, David Gregg
2012	J	`jnl`	Compiler techniques to improve dynamic branch prediction for indirect jump and call instructions. ACM Trans. Archit. Code Optim. Jason McCandless, David Gregg
2012	C	`conf`	Real-Time Sensor Signal Capture from a Harsh Environment. DS-RT Mark Purcell, Aravind Vasudevan, David Gregg
2011	—	`conf`	Optimizing interpreters by tuning opcode orderings on virtual machines for modern architectures: or: how I learned to stop worrying and love hill climbing. PPPJ Jason McCandless, David Gregg
2010	Misc	`conf`	A Program Generator for Intel AES-NI Instructions. INDOCRYPT Raymond Manley, David Gregg
2010	J	`jnl`	An output sensitive algorithm for computing a maximum independent set of a circle graph. Inf. Process. Lett. Nicholas Nash, David Gregg
2010	—	`conf`	Code generation for hardware accelerated AES. ASAP Raymond Manley, Paul Magrath, David Gregg
2010	J	`jnl`	Comparing integer data structures for 32- and 64-bit keys. ACM J. Exp. Algorithmics Nicholas Nash, David Gregg
2010	A	`conf`	Dynamic interpretation for dynamic scripting languages. CGO Kevin Williams, Jason McCandless, David Gregg
2010	J	`jnl`	GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems. ACM Trans. Embed. Comput. Syst. Milan Tichý, Jan Schier, David Gregg
2009	Misc	`conf`	A practical solution for scripting language compilers. SAC Paul Biggar, Edsko de Vries, David Gregg
2009	—	`conf`	Mapping Streaming Languages to General Purpose Processors through Vectorization. LCPC Raymond Manley, David Gregg
2009	—	`conf`	Portable Just-in-Time Specialization of Dynamically Typed Scripting Languages. LCPC Kevin Williams, Jason McCandless, David Gregg
2009	—	`conf`	Streamlining Offload Computing to High Performance Architectures. ICCS (1) Mark Purcell, Owen Callanan, David Gregg
2009	—	`conf`	Using the Meeting Graph Framework to Minimise Kernel Loop Unrolling for Scheduled Loops. LCPC Mounira Bachir, David Gregg, Sid Ahmed Ali Touati
2008	J	`jnl`	A stochastic bitwidth estimation technique for compact and low-power custom processors. ACM Trans. Embed. Comput. Syst. Emre Özer, Andy Nisbet, David Gregg
2008	J	`jnl`	An experimental study of sorting and branch prediction. ACM J. Exp. Algorithmics Paul Biggar, Nicholas Nash, Kevin Williams, David Gregg
2008	—	`conf`	Comparing Integer Data Structures for 32 and 64 Bit Keys. WEA Nicholas Nash, David Gregg
2008	J	`jnl`	Efficiently implementing maximum independent set algorithms on circle graphs. ACM J. Exp. Algorithmics Nicholas Nash, Sylvain Lelait, David Gregg
2008	—	`conf`	Optimization strategies for a java virtual machine interpreter on the cell broadband engine. Conf. Computing Frontiers Kevin Williams, Albert Noll, Andreas Gal, David Gregg
2008	B	`ed.`	Proceedings of the 4th International Conference on Virtual Execution Environments, VEE 2008, Seattle, WA, USA, March 5-7, 2008 VEE David Gregg, Vikram S. Adve, Brian N. Bershad
2008	J	`jnl`	Virtual machine showdown: Stack versus registers. ACM Trans. Archit. Code Optim. Yunhe Shi, Kevin Casey, M. Anton Ertl, David Gregg
2007	B	`conf`	FPGA based Sparse Matrix Vector Multiplication using Commodity DRAM Memory. FPL David Gregg, Colm McSweeney, Ciarán McElroy, Fergal Connor, Séamas McGettrick, David Moloney, Dermot Geraghty
2007	J	`jnl`	Optimizing indirect branch prediction accuracy in virtual machine interpreters. ACM Trans. Program. Lang. Syst. Kevin Casey, M. Anton Ertl, David Gregg
2006	J	`jnl`	Analyzing Effects of Trace Cache Configurations on the Prediction of Indirect Branches. J. Instr. Level Parallelism Yunhe Shi, Emre Özer, David Gregg
2006	—	`conf`	Efficient Floating-Point Implementation of High-Order (N)LMS Adaptive Filters in FPGA. ARC Milan Tichý, Jan Schier, David Gregg
2006	—	`conf`	FPGA Implementation of Adaptive Filters based on GSFAP using Log Arithmetic. SiPS Milan Tichý, Jan Schier, David Gregg
2006	A*	`conf`	Fast and flexible instruction selection with on-demand tree-parsing automata. PLDI M. Anton Ertl, Kevin Casey, David Gregg
2006	A	`conf`	GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems. FPGA Milan Tichý, Andy Nisbet, David Gregg
2006	B	`conf`	High Performance Scientific Computing Using FPGAs with IEEE Floating Point and Logarithmic Arithmetic for Lattice QCD. FPL Owen Callanan, David Gregg, Andy Nisbet, Mike Peardon
2006	—	`conf`	Low-Cost Microarchitectural Techniques for Enhancing the Prediction of Return Addresses on High-Performance Trace Cache Processors. ISCIS Yunhe Shi, Emre Özer, David Gregg
2006	J	`jnl`	Optimizing code-copying JIT compilers for virtual stack machines. Concurr. Comput. Pract. Exp. David Gregg, M. Anton Ertl
2005	J	`jnl`	A method-level comparison of the Java Grande and SPEC JVM98 benchmark suites. Concurr. Pract. Exp. David Gregg, James F. Power, John Waldron
2005	—	`conf`	B.Sc. Computer Game Development ... Why not? DiGRA Conference Libero Ficocelli, David Gregg
2005	J	`jnl`	Estimating data bus size for custom processors in embedded systems. Des. Autom. Embed. Syst. Emre Özer, Andy Nisbet, David Gregg, Owen Callanan
2005	A	`conf`	FPGA Implementation of a Lattice Quantum Chromodynamics Algorithm Using Logarithmic Arithmetic. IPDPS Owen Callanan, Andy Nisbet, Emre Özer, James Sexton, David Gregg
2005	—	`conf`	Multiple-Valued Caches for Power-Efficient Embedded Systems. ISMVL Emre Özer, Resit Sendag, David Gregg
2005	J	`jnl`	The case for virtual register machines. Sci. Comput. Program. David Gregg, Andrew Beatty, Kevin Casey, Brian Davis, Andy Nisbet
2005	B	`conf`	Tiger - An Interpreter Generation Tool. CC Kevin Casey, David Gregg, M. Anton Ertl
2005	B	`conf`	Virtual machine showdown: stack versus registers. VEE Yunhe Shi, David Gregg, Andrew Beatty, M. Anton Ertl
2004	—	`conf`	Automatic Customization of Embedded Applications for Enhanced Performance and Reduced Power Using Optimizing Compiler Techniques. Euro-Par Emre Özer, Andy Nisbet, David Gregg
2004	—	`conf`	Combining stack caching with dynamic superinstructions. IVME M. Anton Ertl, David Gregg
2004	Misc	`conf`	Fine-Tuning Loop-Level Parallelism for Increasing Performance of DSP Applications on FPGAs. FCCM Emre Özer, Andy Nisbet, David Gregg
2004	—	`conf`	Retargeting JIT Compilers by using C-Compiler Generated Executable Code. IEEE PACT M. Anton Ertl, David Gregg
2004	B	`conf`	Stochastic Bit-Width Approximation Using Extreme Value Theory for Customizable Processors. CC Emre Özer, Andy Nisbet, David Gregg
2003	—	`conf`	A Language and Tool for Generating Efficient Virtual Machine Interpreters. Domain-Specific Program Generation David Gregg, M. Anton Ertl
2003	Misc	`conf`	An Optimized Java Interpreter for Connected Devices and Embedded Systems. SAC Andrew Beatty, Kevin Casey, David Gregg, Andrew Nisbet
2003	A*	`conf`	Optimizing indirect branch prediction accuracy in virtual machine interpreters. PLDI M. Anton Ertl, David Gregg
2003	J	`jnl`	Platform independent dynamic Java virtual machine analysis: the Java Grande Forum benchmark suite. Concurr. Comput. Pract. Exp. David Gregg, James F. Power, John Waldron
2003	—	`ed.`	Proceedings of the 2003 Workshop on Interpreters, Virtual Machines and Emulators, IVME 2003, San Diego, California, USA, June 12, 2003 IVME David Gregg, M. Anton Ertl
2003	J	`jnl`	The Structure and Performance of Efficient Interpreters. J. Instr. Level Parallelism M. Anton Ertl, David Gregg
2003	—	`conf`	The case for virtual register machines. IVME Brian Davis, Andrew Beatty, Kevin Casey, David Gregg, John Waldron
2003	C	`conf`	Towards Superinstructions for Java Interpreters. SCOPES Kevin Casey, David Gregg, M. Anton Ertl, Andrew Nisbet
2002	B	`conf`	Building an Interpreter with Vmgen. CC M. Anton Ertl, David Gregg
2002	—	`conf`	Measuring the impact of object-oriented techniques in grande applications: a method-level analysis. Java Grande David Gregg, James F. Power, John Waldron
2002	J	`jnl`	Vmgen - a generator of efficient virtual machine interpreters. Softw. Pract. Exp. M. Anton Ertl, David Gregg, Andreas Krall, Bernd Paysan
2001	B	`conf`	Comparing Tail Duplication with Compensation Code in Single Path Global Instruction Scheduling. CC David Gregg
2001	—	`conf`	Identification and Quantification of Hotspots in Java Grande Programs. HPCN Europe John Waldron, David Gregg
2001	—	`conf`	Implementing an Efficient Java Interpreter. HPCN Europe David Gregg, M. Anton Ertl, Andreas Krall
2001	—	`conf`	The Behavior of Efficient Virtual Machine Interpreters on Modern Architectures. Euro-Par M. Anton Ertl, David Gregg
2000	B	`conf`	Global Software Pipelining with Iteration Preselection. CC David Gregg