Presentation 2015-08-04
An Effective Scheduling of Data Transfer for GPU Applications
Kazuma Ono, Ryo Takeshima, Tomoaki Tsumura,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Utilizing a GPU to perform general purpose computation is called GPGPU. The high theoretical performance of GPU draws attention to GPGPU. For the GPU programming, CUDA supplies an architecture model for parallel processing. A CUDA-enabled GPU has hardware supports for executing different functions concurrently. For using the hardware supports efficiently, developers should troublesomely schedule the execution order of functions appropriately. Kernel Reordering is one of the studies for supporting the function-scheduling. However, Kernel Reordering does not handle data transfer, and data transfer and function execution are serialized even if they have no dependency each other. To address this problem, we improve Kernel Reordering to schedule not onlyfunctions but also data transfer.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) GPGPU / CUDA / Concurrent Kernel Execution
Paper # CPSY2015-23
Date of Issue 2015-07-28 (CPSY)

Conference Information
Committee CPSY / DC / IPSJ-ARC
Conference Date 2015/8/4(3days)
Place (in Japanese) (See Japanese page)
Place (in English) B-Con Plaza (Beppu)
Topics (in Japanese) (See Japanese page)
Topics (in English) Parallel, Distributed and Cooperative Processing
Chair Yasuhiko Nakashima(NAIST) / Nobuyasu Kanekawa(Hitachi)
Vice Chair Koji Nakano(Hiroshima Univ.) / Hidetsugu Irie(Univ. of Tokyo) / Michiko Inoue(NAIST)
Secretary Koji Nakano(Fujitsu Labs.) / Hidetsugu Irie(NII) / Michiko Inoue(RTRI) / (Kyoto Sangyo Univ.)
Assistant Shinya Takameda(NAIST) / Takeshi Ohkawa(Utsunomiya Univ.)

Paper Information
Registration To Technical Committee on Computer Systems / Technical Committee on Dependable Computing / Special Interest Group on System Architecture
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Effective Scheduling of Data Transfer for GPU Applications
Sub Title (in English)
Keyword(1) GPGPU
Keyword(2) CUDA
Keyword(3) Concurrent Kernel Execution
1st Author's Name Kazuma Ono
1st Author's Affiliation Nagoya Institute of Technology(Nagoya Inst. of Tech.)
2nd Author's Name Ryo Takeshima
2nd Author's Affiliation Nagoya Institute of Technology(Nagoya Inst. of Tech.)
3rd Author's Name Tomoaki Tsumura
3rd Author's Affiliation Nagoya Institute of Technology(Nagoya Inst. of Tech.)
Date 2015-08-04
Paper # CPSY2015-23
Volume (vol) vol.115
Number (no) CPSY-174
Page pp.pp.85-90(CPSY),
#Pages 6
Date of Issue 2015-07-28 (CPSY)