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Paper Abstract and Keywords
Presentation 2015-08-04 17:30
An Effective Scheduling of Data Transfer for GPU Applications
Kazuma Ono, Ryo Takeshima, Tomoaki Tsumura (Nagoya Inst. of Tech.) CPSY2015-23
Abstract (in Japanese) (See Japanese page) 
(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 only
functions but also data transfer.
Keyword (in Japanese) (See Japanese page) 
(in English) GPGPU / CUDA / Concurrent Kernel Execution / / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 174, CPSY2015-23, pp. 85-90, Aug. 2015.
Paper # CPSY2015-23 
Date of Issue 2015-07-28 (CPSY) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF CPSY2015-23

Conference Information
Committee CPSY DC IPSJ-ARC  
Conference Date 2015-08-04 - 2015-08-06 
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 
Paper Information
Registration To CPSY 
Conference Code 2015-08-CPSY-DC 
Language Japanese 
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  
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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.)
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Speaker Author-1 
Date Time 2015-08-04 17:30:00 
Presentation Time 30 minutes 
Registration for CPSY 
Paper # CPSY2015-23 
Volume (vol) vol.115 
Number (no) no.174 
Page pp.85-90 
#Pages
Date of Issue 2015-07-28 (CPSY) 


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