Matt Martineau

According to our database1, Matt Martineau authored at least 18 papers between 2016 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2019
On the porting and optimisation of physics simulations for heterogeneous parallel processors.
PhD thesis, 2019

A comparative study of multi-material data structures for computational physics applications.
Comput. Math. Appl., 2019

2018
An improved parallelism scheme for deterministic discrete ordinates transport.
Int. J. High Perform. Comput. Appl., 2018

Evaluating attainable memory bandwidth of parallel programming models via BabelStream.
Int. J. Comput. Sci. Eng., 2018

Benchmarking the NVIDIA V100 GPU and Tensor Cores.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017
Assessing the performance portability of modern parallel programming models using TeaLeaf.
Concurr. Comput. Pract. Exp., 2017

The Productivity, Portability and Performance of OpenMP 4.5 for Scientific Applications Targeting Intel CPUs, IBM CPUs, and NVIDIA GPUs.
Proceedings of the Scaling OpenMP for Exascale Performance and Portability, 2017

Application-Based Fault Tolerance Techniques for Fully Protecting Sparse Matrix Solvers.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

TeaLeaf: A Mini-Application to Enable Design-Space Explorations for Iterative Sparse Linear Solvers.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

The Arch Project: Physics Mini-Apps for Algorithmic Exploration and Evaluating Programming Environments on HPC Architectures.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Exploring On-Node Parallelism with Neutral, a Monte Carlo Neutral Particle Transport Mini-App.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Achieving Performance Portability for a Heat Conduction Solver Mini-Application on Modern Multi-core Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016
GPU-STREAM v2.0: Benchmarking the Achievable Memory Bandwidth of Many-Core Processors Across Diverse Parallel Programming Models.
Proceedings of the High Performance Computing, 2016

Performance Analysis and Optimization of Clang's OpenMP 4.5 GPU Support.
Proceedings of the 7th International Workshop on Performance Modeling, 2016

Offloading Support for OpenMP in Clang and LLVM.
Proceedings of the Third Workshop on the LLVM Compiler Infrastructure in HPC, 2016

An Evaluation of Emerging Many-Core Parallel Programming Models.
Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, 2016

Pragmatic Performance Portability with OpenMP 4.x.
Proceedings of the OpenMP: Memory, Devices, and Tasks, 2016

Evaluating OpenMP 4.0's Effectiveness as a Heterogeneous Parallel Programming Model.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016


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