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2014 Fiscal Year Final Research Report

Research and development of macro parallelization methods targeted to stream-based programs

Research Project

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Project/Area Number 24300020
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypePartial Multi-year Fund
Section一般
Research Field Computer system/Network
Research InstitutionUniversity of Tsukuba

Principal Investigator

YAMAGIWA Shinichi  筑波大学, システム情報系, 准教授 (10574725)

Co-Investigator(Kenkyū-buntansha) WADA Koichi  筑波大学, システム情報系, 教授 (30175145)
NAKANO Koji  広島大学, 工学研究科院, 教授 (30281075)
YUNOKI Seiji  独立行政法人理化学研究所, 柚木計算物性物理化学研究室, 准主任研究員 (70532141)
Project Period (FY) 2012-04-01 – 2015-03-31
Keywordsハイパフォーマンスコンピューティング / GPUコンピューティング / ストリーム指向
Outline of Final Research Achievements

The stream-based program has been applied among scientific and industrial computations due to the widely populated manycore accelerators such as GPU. The performance of single GPU is high due to the massively parallel execution of the program. However, considering parallel computing using multiple accelerators, programmers must consider a method for parallelization of the program and its communication timings of the divided programs. Therefore, it is hard to maintain the performance from the parallelized program. This research project aims to develop a programming foundation that can parallelize the stream-based program into multiple GPUs automatically and achieves a scalable performance from the parallel program for GPU.

Free Research Field

並列分散処理

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Published: 2016-06-03  

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