default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid Gregg
Person information
- affiliation: Trinity College Dublin, Ireland
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j42]Khalid Javeed
, Yasir Ali Shah, David Gregg:
GMC-crypto: Low latency implementation of ECC point multiplication for generic Montgomery curves over GF(p). J. Parallel Distributed Comput. 193: 104946 (2024)- [j41]Gul Aftab Ahmed, James Vincent Patten, Yuanhua Han, Guoxian Lu, Wei Hou, David Gregg, Jim Buckley, Muslim Chochlov:
Nearest-neighbor, BERT-based, scalable clone detection: A practical approach for large-scale industrial code bases. Softw. Pract. Exp. 54(12): 2349-2374 (2024) - [j40]Khalid Javeed, Ali El-Moursy, David Gregg:
E2CSM: efficient FPGA implementation of elliptic curve scalar multiplication over generic prime field GF(p). J. Supercomput. 80(1): 50-74 (2024) - [i31]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 abs/2402.07523 (2024) - 2023
- [j39]Khalid Javeed, Ali El-Moursy, David Gregg:
EC-Crypto: Highly Efficient Area-Delay Optimized Elliptic Curve Cryptography Processor. IEEE Access 11: 56649-56662 (2023) - [j38]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): 94:1-94:27 (2023) - [c66]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: 15-21 - [c65]Midia Reshadi, David Gregg:
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. PDP 2023: 76-83 - [i30]Midia Reshadi, David Gregg:
Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator. CoRR abs/2302.10806 (2023) - [i29]Midia Reshadi, David Gregg:
Maple: A Processing Element for Row-Wise Product Based Sparse Tensor Accelerators. CoRR abs/2303.15199 (2023) - [i28]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 abs/2309.02182 (2023) - 2022
- [j37]Khalid Javeed, Kamran Saeed, David Gregg:
High-speed parallel reconfigurable Fp multipliers for elliptic curve cryptography applications. Int. J. Circuit Theory Appl. 50(4): 1160-1173 (2022) - [j36]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): 80:1-80:28 (2022) - [j35]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): 1949-1950 (2022) - [c64]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: 582-591 - [p1]Paul Biggar, David Gregg:
Building SSA in a Compiler for PHP. SSA-based Compiler Design 2022: 347-357 - [i27]Syed Asad Alam, Andrew Anderson, Barbara Barabasz, David Gregg:
Winograd Convolution for Deep Neural Networks: Efficient Point Selection. CoRR abs/2201.10369 (2022) - [i26]Syed Asad Alam, David Gregg, Giulio Gambardella, Michael Preußer, Michaela Blott:
On the RTL Implementation of FINN Matrix Vector Compute Unit. CoRR abs/2201.11409 (2022) - [i25]Kaveena Persand, Andrew Anderson, David Gregg:
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. CoRR abs/2205.02131 (2022) - [i24]Midia Reshadi, David Gregg:
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators. CoRR abs/2211.03672 (2022) - 2021
- [j34]Kaveena Persand, Andrew Anderson, David Gregg:
Taxonomy of Saliency Metrics for Channel Pruning. IEEE Access 9: 120110-120126 (2021) - [j33]Syed Asad Alam, James Garland, David Gregg:
Low-precision Logarithmic Number Systems: Beyond Base-2. ACM Trans. Archit. Code Optim. 18(4): 47:1-47:25 (2021) - [c63]Kaveena Persand, Andrew Anderson, David Gregg:
Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. AI*IA 2021: 447-461 - [c62]Midia Reshadi, David Gregg:
LOCAL: Low-Complex Mapping Algorithm for Spatial DNN Accelerators. NorCAS 2021: 1-7 - [i23]Syed Asad Alam, James Garland, David Gregg:
Low precision logarithmic number systems: Beyond base-2. CoRR abs/2102.06681 (2021) - 2020
- [j32]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): 26:1-26:25 (2020) - [j31]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): 37:1-37:33 (2020) - [c61]Syed Asad Alam, David Gregg:
Beyond Base-2 Logarithmic Number Systems (WiP Paper). LCTES 2020: 141-145 - [c60]Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg:
High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. SBAC-PAD 2020: 99-106 - [c59]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: 199-208 - [c58]Kaveena Persand, Andrew Anderson, David Gregg:
Composition of Saliency Metrics for Pruning with a Myopic Oracle. SSCI 2020: 753-759 - [i22]Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg:
Performance-Oriented Neural Architecture Search. CoRR abs/2001.02976 (2020) - [i21]Kaveena Persand, Andrew Anderson, David Gregg:
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. CoRR abs/2004.03376 (2020) - [i20]Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR abs/2005.10709 (2020) - [i19]Yuan Wen, David Gregg:
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization. CoRR abs/2006.11967 (2020) - [i18]James Garland, David Gregg:
HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks. CoRR abs/2007.06563 (2020)
2010 – 2019
- 2019
- [c57]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: 489-490 - [c56]Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond Linear Polynomials. AI*IA 2019: 307-320 - [c55]Andrew Anderson, Michael Doyle, David Gregg:
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. ARITH 2019: 61-68 - [c54]Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg:
Performance-Oriented Neural Architecture Search. HPCS 2019: 177-184 - [i17]Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond linear polinomials. CoRR abs/1905.05233 (2019) - [i16]Kaveena Persand, Andrew Anderson, David Gregg:
A Taxonomy of Channel Pruning Signals in CNNs. CoRR abs/1906.04675 (2019) - 2018
- [j30]James Garland, David Gregg:
Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. ACM Trans. Archit. Code Optim. 15(3): 31:1-31:24 (2018) - [c53]Andrew Anderson, David Gregg:
Optimal DNN primitive selection with partitioned boolean quadratic programming. CGO 2018: 340-351 - [i15]James Garland, David Gregg:
Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. CoRR abs/1801.10219 (2018) - [i14]Barbara Barabasz, Andrew Anderson, David Gregg:
Improving accuracy of Winograd convolution for DNNs. CoRR abs/1803.10986 (2018) - [i13]Andrew Anderson, David Gregg:
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. CoRR abs/1809.10572 (2018) - 2017
- [j29]James Garland, David Gregg:
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks. IEEE Comput. Archit. Lett. 16(2): 132-135 (2017) - [j28]Andrew Anderson, Servesh Muralidharan, David Gregg:
Efficient Multibyte Floating Point Data Formats Using Vectorization. IEEE Trans. Computers 66(12): 2081-2096 (2017) - [c52]Aravind Vasudevan, Andrew Anderson, David Gregg:
Parallel Multi Channel convolution using General Matrix Multiplication. ASAP 2017: 19-24 - [c51]Shixiong Xu, David Gregg:
Bitslice Vectors: A Software Approach to Customizable Data Precision on Processors with SIMD Extensions. ICPP 2017: 442-451 - [i12]Aravind Vasudevan, David Gregg:
Mutual Inclusivity of the Critical Path and its Partial Schedule on Heterogeneous Systems. CoRR abs/1701.08800 (2017) - [i11]Aravind Vasudevan, Andrew Anderson, David Gregg:
Parallel Multi Channel Convolution using General Matrix Multiplication. CoRR abs/1704.04428 (2017) - [i10]Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg:
Low-memory GEMM-based convolution algorithms for deep neural networks. CoRR abs/1709.03395 (2017) - [i9]Andrew Anderson, David Gregg:
Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming. CoRR abs/1710.01079 (2017) - 2016
- [j27]Martin Marinov, Nicholas Nash, David Gregg:
Practical Algorithms for Finding Extremal Sets. ACM J. Exp. Algorithmics 21(1): 1.9:1-1.9:21 (2016) - [j26]Andrew Anderson, Avinash Malik, David Gregg:
Automatic Vectorization of Interleaved Data Revisited. ACM Trans. Archit. Code Optim. 12(4): 50:1-50:25 (2016) - [j25]Roman Atachiants, Gavin J. Doherty, David Gregg:
Parallel Performance Problems on Shared-Memory Multicore Systems: Taxonomy and Observation. IEEE Trans. Software Eng. 42(8): 764-785 (2016) - [c50]Andrew Anderson, David Gregg:
Vectorization of Multibyte Floating Point Data Formats. PACT 2016: 363-372 - [i8]Andrew Anderson, David Gregg:
Vectorization of Multibyte Floating Point Data Formats. CoRR abs/1601.07789 (2016) - [i7]Shixiong Xu, David Gregg:
Customizable Precision of Floating-Point Arithmetic with Bitslice Vector Types. CoRR abs/1602.04716 (2016) - [i6]James Garland, David Gregg:
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks. CoRR abs/1609.05132 (2016) - [i5]Maria Francesca, Arthur Hughes, David Gregg:
Spectral Convolution Networks. CoRR abs/1611.05378 (2016) - 2015
- [j24]Mircea Horea Ionica, David Gregg:
The Movidius Myriad Architecture's Potential for Scientific Computing. IEEE Micro 35(1): 6-14 (2015) - [j23]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): 23:1-23:26 (2015) - [c49]Shixiong Xu, David Gregg:
An Efficient Vectorization Approach to Nested Thread-level Parallelism for CUDA GPUs. PACT 2015: 488-489 - [c48]Shixiong Xu, David Gregg:
Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU. TrustCom/BigDataSE/ISPA (3) 2015: 53-60 - [i4]Martin Marinov, David Gregg:
Towards Optimal Sorting Networks: The Third Level. CoRR abs/1502.04748 (2015) - [i3]Martin Marinov, David Gregg:
Sorting Networks: The Final Countdown. CoRR abs/1502.05983 (2015) - [i2]Martin Marinov, David Gregg:
Itemset Isomorphism: GI-Complete. CoRR abs/1507.05841 (2015) - [i1]Martin Marinov, Nicholas Nash, David Gregg:
Practical Algorithms for Finding Extremal Sets. CoRR abs/1508.01753 (2015) - 2014
- [c47]Roman Atachiants, David Gregg, Kim Jarvis, Gavin J. Doherty:
Design considerations for parallel performance tools. CHI 2014: 2501-2510 - [c46]Aravind Vasudevan, Avinash Malik, David Gregg:
An improved simulated annealing heuristic for static partitioning of task graphs onto heterogeneous architectures. ICPADS 2014: 95-102 - [c45]Shixiong Xu, David Gregg:
Efficient Exploitation of Hyper Loop Parallelism in Vectorization. LCPC 2014: 382-396 - [c44]Shixiong Xu, David Gregg:
Semi-automatic Composition of Data Layout Transformations for Loop Vectorization. NPC 2014: 485-496 - 2013
- [j22]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): 1-58 (2013) - [j21]Jimmy Cleary, Owen Callanan, Mark Purcell, David Gregg:
Fast asymmetric thread synchronization. ACM Trans. Archit. Code Optim. 9(4): 27:1-27:22 (2013) - [j20]Stephen Dolan, Servesh Muralidharan, David Gregg:
Compiler support for lightweight context switching. ACM Trans. Archit. Code Optim. 9(4): 36:1-36:25 (2013) - [j19]Avinash Malik, David Gregg:
Orchestrating stream graphs using model checking. ACM Trans. Archit. Code Optim. 10(3): 19:1-19:25 (2013) - [c43]Servesh Muralidharan, Aravind Vasudevan, Avinash Malik, David Gregg:
Heterogeneous Multiconstraint Application Partitioner (HMAP). TrustCom/ISPA/IUCC 2013: 999-1007 - [c42]Servesh Muralidharan, Kevin Casey, David Gregg:
A Parallel Runtime Framework for Communication Intensive Stream Applications. TrustCom/ISPA/IUCC 2013: 1179-1187 - 2012
- [j18]Paul Biggar, Edsko de Vries, David Gregg:
A practical solution for achieving language compatibility in scripting language compilers. Sci. Comput. Program. 77(9): 971-989 (2012) - [j17]Jason McCandless, David Gregg:
Compiler techniques to improve dynamic branch prediction for indirect jump and call instructions. ACM Trans. Archit. Code Optim. 8(4): 24:1-24:20 (2012) - [c41]Mark Purcell, Aravind Vasudevan, David Gregg:
Real-Time Sensor Signal Capture from a Harsh Environment. DS-RT 2012: 36-43 - 2011
- [c40]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: 161-170 - 2010
- [j16]Nicholas Nash, David Gregg:
An output sensitive algorithm for computing a maximum independent set of a circle graph. Inf. Process. Lett. 110(16): 630-634 (2010) - [j15]Nicholas Nash, David Gregg:
Comparing integer data structures for 32- and 64-bit keys. ACM J. Exp. Algorithmics 15 (2010) - [j14]Milan Tichý, Jan Schier, David Gregg:
GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems. ACM Trans. Embed. Comput. Syst. 9(3): 29:1-29:31 (2010) - [c39]Raymond Manley, Paul Magrath, David Gregg:
Code generation for hardware accelerated AES. ASAP 2010: 345-348 - [c38]Kevin Williams, Jason McCandless, David Gregg:
Dynamic interpretation for dynamic scripting languages. CGO 2010: 278-287 - [c37]Raymond Manley, David Gregg:
A Program Generator for Intel AES-NI Instructions. INDOCRYPT 2010: 311-327
2000 – 2009
- 2009
- [c36]Mark Purcell, Owen Callanan, David Gregg:
Streamlining Offload Computing to High Performance Architectures. ICCS (1) 2009: 974-983 - [c35]Raymond Manley, David Gregg:
Mapping Streaming Languages to General Purpose Processors through Vectorization. LCPC 2009: 95-110 - [c34]Mounira Bachir, David Gregg, Sid Ahmed Ali Touati:
Using the Meeting Graph Framework to Minimise Kernel Loop Unrolling for Scheduled Loops. LCPC 2009: 278-292 - [c33]Kevin Williams, Jason McCandless, David Gregg:
Portable Just-in-Time Specialization of Dynamically Typed Scripting Languages. LCPC 2009: 391-398 - [c32]Paul Biggar, Edsko de Vries, David Gregg:
A practical solution for scripting language compilers. SAC 2009: 1916-1923 - 2008
- [j13]Paul Biggar, Nicholas Nash, Kevin Williams, David Gregg:
An experimental study of sorting and branch prediction. ACM J. Exp. Algorithmics 12: 1.8:1-1.8:39 (2008) - [j12]Nicholas Nash, Sylvain Lelait, David Gregg:
Efficiently implementing maximum independent set algorithms on circle graphs. ACM J. Exp. Algorithmics 13 (2008) - [j11]Yunhe Shi, Kevin Casey, M. Anton Ertl, David Gregg:
Virtual machine showdown: Stack versus registers. ACM Trans. Archit. Code Optim. 4(4): 2:1-2:36 (2008) - [j10]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): 34:1-34:30 (2008) - [c31]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: 189-198 - [c30]Nicholas Nash, David Gregg:
Comparing Integer Data Structures for 32 and 64 Bit Keys. WEA 2008: 28-42 - [e2]David Gregg, Vikram S. Adve, Brian N. Bershad:
Proceedings of the 4th International Conference on Virtual Execution Environments, VEE 2008, Seattle, WA, USA, March 5-7, 2008. ACM 2008, ISBN 978-1-59593-796-4 [contents] - 2007
- [j9]Kevin Casey, M. Anton Ertl, David Gregg:
Optimizing indirect branch prediction accuracy in virtual machine interpreters. ACM Trans. Program. Lang. Syst. 29(6): 37 (2007) - [c29]David Gregg, Colm McSweeney, Ciarán McElroy, Fergal Connor, Séamas McGettrick, David Moloney, Dermot Geraghty:
FPGA based Sparse Matrix Vector Multiplication using Commodity DRAM Memory. FPL 2007: 786-791 - 2006
- [j8]David Gregg, M. Anton Ertl:
Optimizing code-copying JIT compilers for virtual stack machines. Concurr. Comput. Pract. Exp. 18(11): 1465-1484 (2006) - [j7]Yunhe Shi, Emre Özer, David Gregg:
Analyzing Effects of Trace Cache Configurations on the Prediction of Indirect Branches. J. Instr. Level Parallelism 8 (2006) - [c28]Milan Tichý, Jan Schier, David Gregg:
Efficient Floating-Point Implementation of High-Order (N)LMS Adaptive Filters in FPGA. ARC 2006: 311-316 - [c27]Milan Tichý, Andy Nisbet, David Gregg:
GSFAP adaptive filtering using log arithmetic for resource-constrained embedded systems. FPGA 2006: 236 - [c26]Owen Callanan, David Gregg, Andy Nisbet, Mike Peardon:
High Performance Scientific Computing Using FPGAs with IEEE Floating Point and Logarithmic Arithmetic for Lattice QCD. FPL 2006: 1-6 - [c25]Yunhe Shi, Emre Özer, David Gregg:
Low-Cost Microarchitectural Techniques for Enhancing the Prediction of Return Addresses on High-Performance Trace Cache Processors. ISCIS 2006: 248-257 - [c24]M. Anton Ertl, Kevin Casey, David Gregg:
Fast and flexible instruction selection with on-demand tree-parsing automata. PLDI 2006: 52-60 - [c23]Milan Tichý, Jan Schier, David Gregg:
FPGA Implementation of Adaptive Filters based on GSFAP using Log Arithmetic. SiPS 2006: 321-326 - 2005
- [j6]David Gregg, James F. Power, John Waldron:
A method-level comparison of the Java Grande and SPEC JVM98 benchmark suites. Concurr. Pract. Exp. 17(7-8): 757-773 (2005) - [j5]Emre Özer, Andy Nisbet, David Gregg, Owen Callanan:
Estimating data bus size for custom processors in embedded systems. Des. Autom. Embed. Syst. 10(1): 5-26 (2005) - [j4]David Gregg, Andrew Beatty, Kevin Casey, Brian Davis, Andy Nisbet:
The case for virtual register machines. Sci. Comput. Program. 57(3): 319-338 (2005) - [c22]Kevin Casey, David Gregg, M. Anton Ertl:
Tiger - An Interpreter Generation Tool. CC 2005: 246-249 - [c21]Libero Ficocelli, David Gregg:
B.Sc. Computer Game Development ... Why not? DiGRA Conference 2005 - [c20]Owen Callanan, Andy Nisbet, Emre Özer, James Sexton, David Gregg:
FPGA Implementation of a Lattice Quantum Chromodynamics Algorithm Using Logarithmic Arithmetic. IPDPS 2005 - [c19]Emre Özer, Resit Sendag, David Gregg:
Multiple-Valued Caches for Power-Efficient Embedded Systems. ISMVL 2005: 126-131 - [c18]Yunhe Shi, David Gregg, Andrew Beatty, M. Anton Ertl:
Virtual machine showdown: stack versus registers. VEE 2005: 153-163 - 2004
- [c17]M. Anton Ertl, David Gregg:
Retargeting JIT Compilers by using C-Compiler Generated Executable Code. IEEE PACT 2004: 41-50 - [c16]Emre Özer, Andy Nisbet, David Gregg:
Stochastic Bit-Width Approximation Using Extreme Value Theory for Customizable Processors. CC 2004: 250-264 - [c15]Emre Özer, Andy Nisbet, David Gregg:
Automatic Customization of Embedded Applications for Enhanced Performance and Reduced Power Using Optimizing Compiler Techniques. Euro-Par 2004: 318-327 - [c14]Emre Özer, Andy Nisbet, David Gregg:
Fine-Tuning Loop-Level Parallelism for Increasing Performance of DSP Applications on FPGAs. FCCM 2004: 273-274 - [c13]M. Anton Ertl, David Gregg:
Combining stack caching with dynamic superinstructions. IVME 2004: 7-14 - 2003
- [j3]David Gregg, James F. Power, John Waldron:
Platform independent dynamic Java virtual machine analysis: the Java Grande Forum benchmark suite. Concurr. Comput. Pract. Exp. 15(3-5): 459-484 (2003) - [j2]M. Anton Ertl, David Gregg:
The Structure and Performance of Efficient Interpreters. J. Instr. Level Parallelism 5 (2003) - [c12]David Gregg, M. Anton Ertl:
A Language and Tool for Generating Efficient Virtual Machine Interpreters. Domain-Specific Program Generation 2003: 196-215 - [c11]Brian Davis, Andrew Beatty, Kevin Casey, David Gregg, John Waldron:
The case for virtual register machines. IVME 2003: 41-49 - [c10]M. Anton Ertl, David Gregg:
Optimizing indirect branch prediction accuracy in virtual machine interpreters. PLDI 2003: 278-288 - [c9]Andrew Beatty, Kevin Casey, David Gregg, Andrew Nisbet:
An Optimized Java Interpreter for Connected Devices and Embedded Systems. SAC 2003: 692-697 - [c8]Kevin Casey, David Gregg, M. Anton Ertl, Andrew Nisbet:
Towards Superinstructions for Java Interpreters. SCOPES 2003: 329-343 - [e1]David Gregg, M. Anton Ertl:
Proceedings of the 2003 Workshop on Interpreters, Virtual Machines and Emulators, IVME 2003, San Diego, California, USA, June 12, 2003. ACM 2003, ISBN 978-1-58113-655-5 [contents] - 2002
- [j1]M. Anton Ertl, David Gregg, Andreas Krall, Bernd Paysan:
Vmgen - a generator of efficient virtual machine interpreters. Softw. Pract. Exp. 32(3): 265-294 (2002) - [c7]M. Anton Ertl, David Gregg:
Building an Interpreter with Vmgen. CC 2002: 5-8 - [c6]David Gregg, James F. Power, John Waldron:
Measuring the impact of object-oriented techniques in grande applications: a method-level analysis. Java Grande 2002: 229 - 2001
- [c5]David Gregg:
Comparing Tail Duplication with Compensation Code in Single Path Global Instruction Scheduling. CC 2001: 200-212 - [c4]M. Anton Ertl, David Gregg:
The Behavior of Efficient Virtual Machine Interpreters on Modern Architectures. Euro-Par 2001: 403-412 - [c3]David Gregg, M. Anton Ertl, Andreas Krall:
Implementing an Efficient Java Interpreter. HPCN Europe 2001: 613-620 - [c2]John Waldron, David Gregg:
Identification and Quantification of Hotspots in Java Grande Programs. HPCN Europe 2001: 701-710 - 2000
- [c1]David Gregg:
Global Software Pipelining with Iteration Preselection. CC 2000: 189-201
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-22 19:57 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
