Presentation | 2014-07-28 Auto Program Tuning for Improving Utilization of GPU Resources Ryo TAKESHIMA, Tomoaki TSUMURA, |
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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. CUBA supplies a platform for the developers of GPU applications. In CUBA programming model, massive threads are allocated to GPU's calculation units. Besides, CUBA has various kinds of memories on GPU. These memories have different features of access latency, capacity, and so on. Therefore, to produce high-performance GPU programs, developers should consider how to allocate the massive threads to cores and which memory should be used for storing data. Hence, developers should have deep understanding of the GPU architecture and CUBA APIs. To address this problem, we propose an auto tuning system for GPU programs, and explain an implementation of a preprocessor for the system, in this paper. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | GPGPU / CUDA / tuning GPU programs / data transfer |
Paper # | CPSY2014-15 |
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Committee | CPSY |
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Conference Date | 2014/7/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Computer Systems (CPSY) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Auto Program Tuning for Improving Utilization of GPU Resources |
Sub Title (in English) | |
Keyword(1) | GPGPU |
Keyword(2) | CUDA |
Keyword(3) | tuning GPU programs |
Keyword(4) | data transfer |
1st Author's Name | Ryo TAKESHIMA |
1st Author's Affiliation | Nagoya Institute of Technology() |
2nd Author's Name | Tomoaki TSUMURA |
2nd Author's Affiliation | Nagoya Institute of Technology |
Date | 2014-07-28 |
Paper # | CPSY2014-15 |
Volume (vol) | vol.114 |
Number (no) | 155 |
Page | pp.pp.- |
#Pages | 6 |
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