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Journal Articles

Development of a high-speed eigenvalue-solver for constant plasma monitoring on a cell cluster system

Kushida, Noriyuki; Fujibayashi, Kenichi; Takemiya, Hiroshi

Procedia Computer Science, 4, p.898 - 907, 2011/00

 Times Cited Count:0 Percentile:0(Computer Science, Theory & Methods)

A high speed eigenvalue solver that is an essential part of a plasma stability analysis system for fusion reactors on a Cell cluster system is described. For the purpose of continuous operation of fusion reactors, we must evaluate the state of plasma within the characteristic confinement time of the plasma density and temperature in fusion reactors. In order to resolve the problem, we introduced a Cell cluster system and developed a novel eigenvalue solver, which usually consumes most of the plasma evaluation time, to achieve high performance of the system. As a result, we succeeded in obtaining our target performance: we were able to solve a block tri-diagonal Hermitian matrix containing 1024 diagonal blocks, where the size of each block was 128$$times$$128, within a second. Therefore, we have found a suitable candidate for achieving a satisfactory monitoring system.

Oral presentation

R&D of large-scale data analysis system for atomic energy field

Tatekawa, Takayuki; Kushida, Noriyuki; Miyamura, Hiroko; Teshima, Naoya*; Fujibayashi, Kenichi*; Takemiya, Hiroshi

no journal, , 

no abstracts in English

Oral presentation

High-speed data processing for neutron imaging using a heterogeneous multi-core processor

Kushida, Noriyuki; Fujibayashi, Kenichi; Kureta, Masatoshi; Segawa, Mariko; Shinohara, Takenao; Takemiya, Hiroshi

no journal, , 

Center for Computational Science and E-systems of Japan Atomic Energy Agency has been developing elemental technologies for high-speed data analysis in order to achieve "On Site" data analysis. Recent huge experimental facilities provide tremendous amount of data, which is beyond traditional computers capability. Therefore we developed and applied novel parallel computing techniques. As a result, we achieved around 100 times speed-up in computation, and 10 times speed-up in data storage access than traditional computers.

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