| Project/Area Number |
22740155
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Particle/Nuclear/Cosmic ray/Astro physics
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| Research Institution | International University of Health and Welfare (2013)
University of Yamanashi (2010-2012) |
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Principal Investigator |
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| Project Period (FY) |
2010-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2013: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 素粒子（理論） / 加速器物理 / 計算機シミュレーション / 素粒子論 / 計算機物理 / シミュレータ / 素粒子理論 / ソフトウェア開発 / 計算物理 |
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| Research Abstract |
We investigate the applicability of the GPGPU (General Purpose computing on Graphics Processing Unit) technology to improve the computation time for the research of particle physics, LHC physics, by taking advantage of GPU parallel processing capability.
We develop the HEGET (HELAS Evaluation with GPU Enhanced Technology) subroutines for fast calculations of the helicity amplitude for general Standard Model processes. All the cross section computed by HEGET/gBASES, where gBASES is the GPU version of the Monte Carlo integration program, are found to agree with those computed by CPU within the expected numerical accuracy. The performance of the HEGET/gBASES system is over a factor of 10 faster than CPU system. Especially, the computation time for the simple processes with GPU is about 100 times faster than that with CPU. On the other hand, GPU system cannot improve the computation time for the processes with the highest number of jets.
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