| Project/Area Number |
21300013
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Computer system/Network
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| Research Institution | The University of Electro-Communications |
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Principal Investigator |
IMAMURA Toshiyuki 電気通信大学, 大学院・情報理工学研究科, 准教授 (60361838)
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| Co-Investigator(Kenkyū-buntansha) |
KATAGIRI Takahiro 東京大学, 情報基盤センター, 准教授 (40345434)
SUDA Reiji 東京大学, 情報理工学系研究科, 教授 (40251392)
TAKAHASHI Daisuke 筑波大学, システム情報工学研究科, 准教授 (00292714)
YAMAMOTO Yusaku 神戸大学, システム情報学研究科, 教授 (20362288)
NAKAJIMA Kengo 東京大学, 情報基盤センター, 教授 (20376528)
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2011: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2010: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2009: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
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| Keywords | マルチコア / 実行時最適化 / 動的負荷分散 / ハイブリッド並列プログラミングモデル / GPGPU / QR分解 / 固有値計算 / 高性能BLAS / 性能データベース |
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| Research Abstract |
To establish a key component of"automatic tuning technology"on multi-core processors and multi-GPU's for a next-generation supercomputer system, we conducted this research project. In this work, we developed an"automatic tuning technique employing performance stabilization on GPU's"and an"automatic tuning technique which utilizes a performance database". Furthermore, we successfully gave the semioptimal experimental design based on a Bayesian model through the mathematical research of the automatic tuning when the environmental conditions change dynamically. AT(automatic-tuning) for eigenvalue solvers, Fast Fourier Transform, and iterative solver with preconditioning were exploited on a cluster system or a multicore computer system.
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