SCHEDULE: NOV 12-18, 2011

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Multi-Science Applications with Single Codebase - GAMER - for Massively Parallel Architectures

SESSION: GPU Applications

EVENT TYPE: Paper

TIME: 11:30AM - 12:00PM

AUTHOR(S):Hemant Shukla, Hsi-Yu Schive, Tak-Pong Woo, Tzihong Chiueh

ROOM:TCC 303

ABSTRACT:
The growing need for power efficient extreme-scale high-performance computing coupled with plateauing clock-speeds is driving the emergence of massively parallel compute architectures. For example, many-core graphics processing units (GPUs) offer thousands of SIMD cores primarily designed for image and video rendering are used for high-performance scientific computations. The new architectures typically offer ANSI standard programming models such as CUDA (NVIDIA) and OpenCL. However, the wide-ranging adoption of the parallel architectures requires reengineering of existing libraries leading to expensive and error-prone code rewrites with no guarantee of speedups. We use GPU-aware AMR based common-codebase, GAMER, to examine the unique approach of solving multi-science problems in astrophysics, hydrodynamics and particle physics. We demonstrate significant speedups in broad and disparate class of scientific applications. By extensively reusing the extendable single common-codebase we mitigate the impediments of significant code rewrites on NVIDIA C2050 GPU and Intel 8-core Nehalem CPU on Dirac cluster at NERSC.

Chair/Author Details:

Hemant Shukla - Lawrence Berkeley National Laboratory

Hsi-Yu Schive - National Taiwan University

Tak-Pong Woo - Soochow University

Tzihong Chiueh - National Taiwan University

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The full paper can be found in the ACM Digital Library