Overcoming Tribrid Programming with Latency Hiding Oriented Description Model
Project/Area Number |
15K12008
|
Research Category |
Grant-in-Aid for Challenging Exploratory Research
|
Allocation Type | Multi-year Fund |
Research Field |
Software
|
Research Institution | Osaka University |
Principal Investigator |
Ino Fumihiko 大阪大学, 情報科学研究科, 教授 (90346172)
|
Co-Investigator(Kenkyū-buntansha) |
水谷 泰治 大阪工業大学, 情報科学部, 准教授 (10411414)
|
Project Period (FY) |
2015-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
|
Keywords | 並列プログラミング / 並列処理 / GPU / 性能評価 / 高性能計算 / CUDA / MPI |
Outline of Final Research Achievements |
In this work, we explored latency hiding oriented description methods that not only achieve high performance but also facilitate complicated parallel programming for parallel computers equipped with accelerators such as the graphics processing unit (GPU). In more detail, we developed a data decomposition method and a performance model required for two program description schemes: one extends a GPU-based scheme for inter-node program description and the other extends an inter-node scheme for GPU program description. The effectiveness of the proposed methods was evaluated on multi-GPU systems with practical applications such as stencil computation.
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Report
(4 results)
Research Products
(34 results)