Performance improvement of the general-purpose CFD code FrontFlow/blue on the K computer
Pages 171 - 182
Abstract
The general-purpose fluid simulation software FrontFlow/blue (FFB) is based on the finite element method (FEM). It was designed to accept extremely large-scale simulations and is an important application in the manufacturing field in Japan. Moreover, since this application is significant in both the manufacturing field and the development of the post-K supercomputer, it is employed as an important application for the new post-K supercomputer that is under development. The K computer is still the important infrastructure in Japan. And there are some supercomputers having the same architecture to the K computer. Therefore we continue to improve the performance of the FFB on the K computer. On significant subroutines, several improvement techniques, store order based loop modification decreasing total load and store operations, unrolled loop rerolling to employ SIMD load instruction, adjusting number of arrays in loop, using sector cache function, and so on, were employed. As a result, an improvement of 160% was obtained on a single CPU performance. This paper shows and discusses the detail of these improvements.
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Index Terms
- Performance improvement of the general-purpose CFD code FrontFlow/blue on the K computer
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Published In
January 2018
322 pages
ISBN:9781450353724
DOI:10.1145/3149457
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- SIGHPC: ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing
- IPSJ: Information Processing Society of Japan
- Cybermedia Center, Osaka University: Cybermedia Center, Osaka University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 January 2018
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- Research
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HPC Asia 2018
HPC Asia 2018: International Conference on High Performance Computing in Asia-Pacific Region
January 28 - 31, 2018
Tokyo, Chiyoda, Japan
Acceptance Rates
HPCAsia '18 Paper Acceptance Rate 30 of 67 submissions, 45%;
Overall Acceptance Rate 69 of 143 submissions, 48%
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