SCHEDULE: NOV 15-20, 2015

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Parallelization of Tsunami Simulation on CPU, GPU and FPGAs

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Fumiya Kono, Naohito Nakasato, Kensaku Hayashi, Alexander Vazhenin, Stanislav Sedukhin, Kohei Nagasu, Kentaro Sano, Vasily Titov

ROOM:Level 4 - Lobby

ABSTRACT:

Tsunami is known as one of serious disasters. MOST (Method of Splitting Tsunami) is one of numerical solvers for modeling tsunami waves. Prediction of the arrival time of Tsunami is critical to evacuate people from coastal area. Therefore, fast computation of MOST enabled by parallel processing is important. We have developed a tsunami propagation code based on MOST and implemented different algorithms for parallelization by OpenMP and OpenACC. We have conducted benchmarking of these parallelized codes on various architectures such as multi-core CPU systems, Many Integrated Core architecture, GPU. In this poster, we compare the performance of various parallel implementations. We found that a parallelized code applied spatial blocking on OpenACC was the best performance at present.
Concurrently, we are developing an accelerator of the MOST computation with Field-Programmable Gate Arrays (FPGAs) for high-performance and power-efficient simulation. We also present preliminary evaluation of its prototype implementation with a 28nm FPGA.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Fumiya Kono - University of Aizu

Naohito Nakasato - University of Aizu

Kensaku Hayashi - University of Aizu

Alexander Vazhenin - University of Aizu

Stanislav Sedukhin - University of Aizu

Kohei Nagasu - Tohoku University

Kentaro Sano - Tohoku University

Vasily Titov - National Oceanic and Atmospheric Administration

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