High Performance Iterative Solver for Linear System using Multi GPU
スポンサーリンク
概要
- 論文の詳細を見る
The variable preconditioned (VP) Krylov subspace method on multi Graphics Processing Unit (GPU) is numerically investigated. Besides, the linear system obtained by finite element method with an edge element is adopted for the problem. The results of computations show that VP conjugate gradient method on multi GPU demonstrated significant achievement than that of CPU. Especially, VP conjugate gradient method on multi GPU is 4.35 times faster than that of CPU. However, transmission rate between the PC using Gigabit Ethernet is the bottleneck of the performance.
著者
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NAKAMURA Hiroyuki
National Institute of Advanced Industrial Science and Technology (AIST), Kyushu Center
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Watanabe Kota
Hokkaido Univ. Sapporo Jpn
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FUJITA Norihisa
Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan
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ITOH Taku
Seikei University, 3-3-1 Kichijoji-kitamachi, Musashino, Tokyo 180-8633, Japan
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IKUNO Soichiro
Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan
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KAWAGUCHI Yuki
Tokyo University of Technology, 1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan
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NAKATA Susumu
Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-5062, Japan
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NAKAMURA Hiroyuki
National Institute for Fusion Science, 322-6 Oroshi-cho, Toki, Gifu 509-5292, Japan
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