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Application of Algebraic Approximation to Three Dimensional Multibody Coulomb Problem : Implementation of GPGPU

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Title: Application of Algebraic Approximation to Three Dimensional Multibody Coulomb Problem : Implementation of GPGPU
Authors: Oikawa, Shun-ichi Browse this author →KAKEN DB
Higashi, Koichiro Browse this author
Matsumoto, Yutaka Browse this author
Keywords: multibody problem
algebraic approximation
General Purpose Graphics Processing Unit (GPGPU)
Issue Date: 2010
Publisher: Japan Society of Plasma Science and Nuclear Fusion Research
Journal Title: Plasma and Fusion Research
Volume: 5
Start Page: S2026
Publisher DOI: 10.1585/pfr.5.S2026
Abstract: The algebraic model (ALG) proposed by the authors has sufficiently high accuracy in calculating the motion of a test particle with all the field particles at rest. When all the field particles are moving, however, the ALG has relatively poor prediction ability on the motion of the test particle initially at rest. Nonetheless, the ALG approximation gives a good results for the statistical quantities, such as variance of velocity changes or the scattering cross section, for a sufficiently large number of Monte Carlo trials. We have implemented a graphics processing unit (GPU) using NVIDIA's CUDA architecture into the ALG scheme for Coulomb multibody problems. For N=28-body problem, the ALG calculations on the GPU is several times faster than on a typical CPU. The achieved speedup ratios on an NVIDIA GTX-285 are 10.5 and 2500 against the ALG-CPU and the DIM-CPU, respectively both on an Intel Celeron @3.06GHz.
Type: article
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 及川 俊一

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