Auto-tuning with Hierarchical Algorithm Selection
| Project/Area Number |
20300007
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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 |
Software
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| Research Institution | The University of Tokyo |
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Principal Investigator |
SATO Hiroyuki The University of Tokyo, 情報基盤センター, 准教授 (20225999)
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| Co-Investigator(Kenkyū-buntansha) |
KATAGIRI Takahiro 東京大学, 情報基盤ヤンター, 特任准教授 (40345434)
IMAMURA Toshiyuki 電気通信大学, 情報理工学部, 准教授 (60361838)
ITO Shoji 東京大学, 情報基盤ヤンター, 特任准教授 (70333482)
KURODA Hisayasu 愛媛大学, 大学院・情報理工学系研究科, 准教授 (60323507)
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| Research Collaborator |
YUBA Toshitsugu 電気通信大学, 名誉教授
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥19,630,000 (Direct Cost: ¥15,100,000、Indirect Cost: ¥4,530,000)
Fiscal Year 2010: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2009: ¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2008: ¥13,260,000 (Direct Cost: ¥10,200,000、Indirect Cost: ¥3,060,000)
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| Keywords | 並列処理 / 分散処理 / 自動チューニング / 性能最適化 |
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| Research Abstract |
This research aims at solving the complexity problems of conventional compiler-oriented or library-oriented performance tuning caused by explosive computer architecture complexities by doing architecture-specific library functions and their performance evaluation, automatic optimal algorithm selection, and enhanced compiler optimization framework that are classified into several abstraction levels in problem solving. A part of tuning methodologies and library functions are planned to be released.
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Report
(4 results)
Research Products
(81 results)
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[Journal Article] High Performance Computing of Density Matrix Renormalization Group Method for 2-Dimensional Model : Parallelization Strategy toward Peta Computing2010
Author(s)
Yamada, S., Imamura, T., Okumura, M., Igarashi, R., Onishi, H., Machida, M
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Journal Title
Proceedings of Joint International Conference on Supercomputing in Nuclear Applications and Mon to Carlo 2010
Volume: (CDROM)
Related Report
Peer Reviewed
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