2014 Fiscal Year Final Research Report
Numerical Computation Algorithms for Large-scale Parallel Environment
| Project Area | Materials Design through Computics: Complex Correlation and Non-equilibrium Dynamics |
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| Project/Area Number |
22104003
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| Research Category |
Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
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| Allocation Type | Single-year Grants |
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| Review Section |
Science and Engineering
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
IMAMURA Toshiyuki 理化学研究所, 計算科学研究機構, チームリーダー (60361838)
TADANO Hiroto 筑波大学, システム情報系, 助教 (50507845)
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| Co-Investigator(Renkei-kenkyūsha) |
SATO Mitsuhisa 筑波大学, システム情報系, 教授 (60333481)
BOKU Taisuke 筑波大学, システム情報系, 教授 (90209346)
SAKURAI Tetsuya 筑波大学, システム情報系, 教授 (60187086)
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| Project Period (FY) |
2010-04-01 – 2015-03-31
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| Keywords | 大規模並列環境 / 数値計算アルゴリズム |
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| Outline of Final Research Achievements |
Research was conducted on the use of large-scale parallel environments, whose performance exceeded 10 petaflops, for numerical computation algorithms. These included the fast Fourier transform (FFT), quadruple- and octuple-precision basic linear algebra subprograms (BLAS) on graphics processing units (GPUs), triple- and quadruple-precision floating point operations on GPUs, sparse matrix-vector multiplication on GPUs, and a real symmetric eigenvalue solver operating in a CPU + GPU environment. An evaluation was also carried out of the performance of a newly developed eigenvalue solver and an existing solver in a GPU environment, a high-performance eigenvalue solver employing third-generation NVIDIA GPUs, solution acceleration of simultaneous linear algebraic equations using the Block Krylov algorithm, accuracy improvement of Block Krylov partial space iterative methods, and performance-tuning methods.
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| Free Research Field |
計算機科学
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