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Dr Tom Deakin
Dr Tom Deakin
PhD, MSci, PGDip
Lecturer
Senior Research Associate
Summary
Biography
Dr Tom Deakin is a Lecturer (fixed term) and Senior Research Associate in the High Performance Computing Research Group at the University of Bristol, led by Professor Simon McIntosh-Smith. Tom completed his PhD in Leveraging Many-Core Technology for Deterministic Neutral Particle Transport at Extreme Scale in 2018, and has since continued working on unstructured mesh transport and performance portability on HPC architectures. In 2012, Tom graduated top of his class from the University of Bristol with first class honours with a MSc in Mathematics and Computer Science, winning the prize for Best graduating student in Computer Science and Mathematics. Tom has been involved in teaching an Introduction to High Performance Computing at the University of Bristol and helped with tutorials on parallel programming models at international conferences and private courses on OpenCL and OpenMP. Training material on
OpenMP for Computational Scientists and
HandsOnOpenCL can be found online.
Keywords
- Performance limiting factors for algorithms on many-core architectures.
Performance portability: what it means and how to achieve it.
Performance portable programming models.
Deterministic transport for modelling interaction of neutral particles.
Recent publications
- McIntosh-Smith, S, Price, J, Deakin, T & Poenaru, A, 2019, ‘A performance analysis of the first generation of HPC-optimized Arm processors’. Concurrency and Computation: Practice and Experience, vol 31.
- McIntosh-Smith, SN, Price, J, Poenaru, A & Deakin, TJ, 2019, ‘Benchmarking the first generation of production quality Arm-based supercomputers’. Concurrency and Computation: Practice and Experience.
- Deakin, T, McIntosh-Smith, S, Lovegrove, J, Smedley-Stevenson, R & Hagues, A, 2019, ‘Developing a mini-app for exploring algorithms for unstructured mesh deterministic discrete ordinates transport on many-core architectures’. in: Proceedings of The International Conference on Mathematics and Computational Methods applied to Nuclear Science and Engineering: M&C2019. American Nuclear Society
- Deakin, TJ, McIntosh-Smith, SN, Price, J, Poenaru, A, Atkinson, PR, Popa, C & Salmon, J, 2019, ‘Performance Portability across Diverse Computer Architectures’. in: 2019 IEEE International Workshop on Performance, Portability and Productivity in HPC. Institute of Electrical and Electronics Engineers (IEEE)
- Deakin, T, McIntosh-Smith, S, Lovegrove, J, Smedley-Stevenson, R & Hagues, A, 2019, ‘Reviewing the Computational Performance of Deterministic SN Transport Sweeps on Many-Core Architectures’.
- McIntosh-Smith, S, Price, J, Poenaru, A & Deakin, T, 2019, ‘Scaling Results From the First Generation of Arm-based Supercomputers’. in: CUG 2019 proceedings.
- McIntosh-Smith, S, Price, J, Deakin, T & Poenaru, A, 2018, ‘Comparative Benchmarking of the First Generation of HPC-Optimised Arm Processors on Isambard’. in: Cray User Group.
- Deakin, T, McIntosh-Smith, S, Martineau, M & Gaudin, W, 2018, ‘An Improved Parallelism Scheme for Deterministic Discrete Ordinates Transport’. International Journal of High Performance Computing Applications, vol 32., pp. 555-569
- Deakin, T, Price, J, Martineau, M & McIntosh-Smith, S, 2018, ‘Evaluating attainable memory bandwidth of parallel programming models via BabelStream’. International Journal of Computational Science and Engineering, vol 17., pp. 247-262
- Deakin, T, McIntosh-Smith, S, Lovegrove, J, Smedley-Stevenson, R & Hagues, A, 2018, ‘UnSNAP: A Mini-App for Exploring the Performance of Deterministic Discrete Ordinates Transport on Unstructured Meshes’. in: Workshop of Representative Applications (WRAp) 18 at 2018 IEEE International Conference on Cluster Computing (CLUSTER 2018). IEEE Computer Society, pp. 598-606
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