Zynq cluster for CFD parametric survey

Naru Sugimoto, Takaaki Miyajima, Ryotaro Sakai, Yasunori Osana, Naoyuki Fujita, Hideharu Amano

研究成果: Conference contribution

抄録

Fast Aerodynamics Routines (FaSTAR) is a state of the art Computational Fluid Dynamics (CFD) software package to enable high precise analysis. Due to its complicated data structure from unstructured grid, the acceleration with GPU or massively parallel machines is not efficient. Although a hardware accelerator on an FPGA is a hopeful candidate, the complicated FaSTAR program is difficult to pick up time consuming cores and implement them on an FPGA. In practical aircraft design, a parametric survey, which executes FaSTAR jobs in parallel with different conditions is commonly used. Here, we propose a Zynq cluster as a cost and power efficient solution of FaSTAR parametric survey. By introducing high-level synthesis and partial reconfiguration, the FaSTAR job with a specific condition runs on a simple node with a Zynq-7000 AP SoC. Now a part of FaSTAR job can be executed on FPGA of Zynq board about 1.3 times faster than Intel’s Xeon E5-2667 2.9GHz software.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版社Springer Verlag
ページ287-299
ページ数13
9625
ISBN(印刷版)9783319304809
DOI
出版ステータスPublished - 2016
イベント12th International Symposium on Applied Reconfigurable Computing, ARC 2016 - Mangaratiba, Brazil
継続期間: 2016 3 222016 3 24

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9625
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other12th International Symposium on Applied Reconfigurable Computing, ARC 2016
CountryBrazil
CityMangaratiba
Period16/3/2216/3/24

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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