Presentation | 2009-05-15 Performance comparison of GPU and FPGA in image processing Shuichi ASANO, Tutomu MARUYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Many applications in image processing have high inherent parallelism. FPGAs have shown very high performance in spite of their low operational frequency by fully extracting the parallelism. In recent micro processors, it also becomes possible to utilize the parallelism using multi-cores which support improved SIMD instructions. Recent GPUs support a large number of cores, and have a potential for high performance in many applications. In this paper, we compare the performance of FPGA, GPU and CPU using three applications in image processing; two-dimensional filters, stereo-vision and k-means clustering, and make it clear which platform is faster under which conditions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | GPU / CUDA / FPGA / two-dimensional filters / stereo-vision / k-means clustering |
Paper # | RECONF2009-15 |
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Conference Information | |
Committee | RECONF |
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Conference Date | 2009/5/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Reconfigurable Systems (RECONF) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Performance comparison of GPU and FPGA in image processing |
Sub Title (in English) | |
Keyword(1) | GPU |
Keyword(2) | CUDA |
Keyword(3) | FPGA |
Keyword(4) | two-dimensional filters |
Keyword(5) | stereo-vision |
Keyword(6) | k-means clustering |
1st Author's Name | Shuichi ASANO |
1st Author's Affiliation | Systems and Information Engineering, University of Tsukuba() |
2nd Author's Name | Tutomu MARUYAMA |
2nd Author's Affiliation | Systems and Information Engineering, University of Tsukuba |
Date | 2009-05-15 |
Paper # | RECONF2009-15 |
Volume (vol) | vol.109 |
Number (no) | 26 |
Page | pp.pp.- |
#Pages | 6 |
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