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Matt Martineau
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Books and Theses
- 2019
- [b1]Matt Martineau:
On the porting and optimisation of physics simulations for heterogeneous parallel processors. University of Bristol, UK, 2019
Journal Articles
- 2019
- [j4]Shane Fogerty, Matt Martineau, Rao V. Garimella, Robert Robey:
A comparative study of multi-material data structures for computational physics applications. Comput. Math. Appl. 78(2): 565-581 (2019) - 2018
- [j3]Tom Deakin, James Price, Matt Martineau, Simon McIntosh-Smith:
Evaluating attainable memory bandwidth of parallel programming models via BabelStream. Int. J. Comput. Sci. Eng. 17(3): 247-262 (2018) - [j2]Tom Deakin, Simon McIntosh-Smith, Matt Martineau, Wayne P. Gaudin:
An improved parallelism scheme for deterministic discrete ordinates transport. Int. J. High Perform. Comput. Appl. 32(4): 555-569 (2018) - 2017
- [j1]Matt Martineau, Simon McIntosh-Smith, Wayne P. Gaudin:
Assessing the performance portability of modern parallel programming models using TeaLeaf. Concurr. Comput. Pract. Exp. 29(15) (2017)
Conference and Workshop Papers
- 2018
- [c13]Matt Martineau, Patrick Atkinson, Simon McIntosh-Smith:
Benchmarking the NVIDIA V100 GPU and Tensor Cores. Euro-Par Workshops 2018: 444-455 - 2017
- [c12]Matt Martineau, Simon McIntosh-Smith:
Exploring On-Node Parallelism with Neutral, a Monte Carlo Neutral Particle Transport Mini-App. CLUSTER 2017: 498-508 - [c11]Grzegorz Pawelczak, Simon McIntosh-Smith, James Price, Matt Martineau:
Application-Based Fault Tolerance Techniques for Fully Protecting Sparse Matrix Solvers. CLUSTER 2017: 733-740 - [c10]Richard O. Kirk, Gihan R. Mudalige, István Z. Reguly, Steven A. Wright, Matt J. Martineau, Stephen A. Jarvis:
Achieving Performance Portability for a Heat Conduction Solver Mini-Application on Modern Multi-core Systems. CLUSTER 2017: 834-841 - [c9]Simon McIntosh-Smith, Matthew Martineau, Tom Deakin, Grzegorz Pawelczak, Wayne P. Gaudin, Paul Garrett, Wei Liu, Richard P. Smedley-Stevenson, David Beckingsale:
TeaLeaf: A Mini-Application to Enable Design-Space Explorations for Iterative Sparse Linear Solvers. CLUSTER 2017: 842-849 - [c8]Matthew Martineau, Simon McIntosh-Smith:
The Arch Project: Physics Mini-Apps for Algorithmic Exploration and Evaluating Programming Environments on HPC Architectures. CLUSTER 2017: 850-857 - [c7]Matt Martineau, Simon McIntosh-Smith:
The Productivity, Portability and Performance of OpenMP 4.5 for Scientific Applications Targeting Intel CPUs, IBM CPUs, and NVIDIA GPUs. IWOMP 2017: 185-200 - 2016
- [c6]Matt Martineau, Simon McIntosh-Smith, Wayne P. Gaudin:
Evaluating OpenMP 4.0's Effectiveness as a Heterogeneous Parallel Programming Model. IPDPS Workshops 2016: 338-347 - [c5]Matt Martineau, James Price, Simon McIntosh-Smith, Wayne P. Gaudin:
Pragmatic Performance Portability with OpenMP 4.x. IWOMP 2016: 253-267 - [c4]Matt Martineau, Simon McIntosh-Smith, Michael Boulton, Wayne P. Gaudin:
An Evaluation of Emerging Many-Core Parallel Programming Models. PMAM@PPoPP 2016: 1-10 - [c3]Samuel F. Antão, Alexey Bataev, Arpith C. Jacob, Gheorghe-Teodor Bercea, Alexandre E. Eichenberger, Georgios Rokos, Matt Martineau, Tian Jin, Guray Ozen, Zehra Sura, Tong Chen, Hyojin Sung, Carlo Bertolli, Kevin O'Brien:
Offloading Support for OpenMP in Clang and LLVM. LLVM-HPC@SC 2016: 1-11 - [c2]Matt Martineau, Simon McIntosh-Smith, Carlo Bertolli, Arpith C. Jacob, Samuel F. Antão, Alexandre E. Eichenberger, Gheorghe-Teodor Bercea, Tong Chen, Tian Jin, Kevin O'Brien, Georgios Rokos, Hyojin Sung, Zehra Sura:
Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support. PMBS@SC 2016: 54-64 - [c1]Tom Deakin, James Price, Matt Martineau, Simon McIntosh-Smith:
GPU-STREAM v2.0: Benchmarking the Achievable Memory Bandwidth of Many-Core Processors Across Diverse Parallel Programming Models. ISC Workshops 2016: 489-507
Coauthor Index
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