SCHEDULE: NOV 15-20, 2015

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Portable Performance of Large-Scale Physics Applications: Toward Targeting Heterogeneous Exascale Architectures Through Application Fitting

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, ACM Student Research Competition Poster

TIME: 5:15PM - 7:00PM

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

AUTHOR(S):William Killian

ROOM:Level 4 - Lobby

ABSTRACT:

Physics simulations are one of the driving applications for supercomputing and this trend is expected to continue as we transition to exascale computing. Modern and upcoming hardware design exposes tens to thousands of threads to applications, and achieving peak performance mandates harnessing all available parallelism in a single node. In this work we focus on two physics micro-benchmarks representative of kernels found in multi-physics codes. We map these onto three target architectures: Intel CPUs, IBM Blue Gene/Q, and NVIDIA GPUs. Speedups on CPUs were up to 16x over our baseline while speedups on Blue Gene/Q and GPUs peaked at 46x and 23x, respectively. We achieved 54% of peak performance on a single core. Using compiler directives with additional architecture- aware source code utilities allowed for code portability. Based on our experience, we list a set of guidelines for programmers and scientists to follow towards attaining a single, performance portable implementation.

Chair/Author Details:

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

William Killian - University of Delaware

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