An Attempt of CUDA Implementation of PCA-SIFT
| 言語 | 英語 |
|---|---|
| 種類 | 研究会等の予稿 |
| 著者 | Masakazu IWAMURA，Takayuki HONDO，Kazuto NOGUCHI，Koichi KISE |
| 論文名 | An Attempt of CUDA Implementation of PCA-SIFT |
| 論文誌名 | IEICE Technical Report |
| Vol. | 107 |
| No. | 281 |
| 発表番号 | PRMU2007-117 |
| ページ | pp.149-154 |
| 査読の有無 | 無 |
| 年月 | 2007年10月 |
| 分野 | パターン認識, 物体認識 |
| キー | Iwamura2007_IEICEPRMU_Attempt (id=997) |
要約
GPGPU (General-Purpose computation on GPUs) is a paradigm to use GPUs (graphics processing units) for general computation. Due to recent remarkable improvement of GPU, GPU outperforms CPU in computation ability. However, most people could not use the ability for general computation because existing programming languages require knowledge about GPU hardware architectures and computer graphics for GPGPU computing. Recently, a new GPU language CUDA (Compute Unified Device Architecture) has been released from NVIDIA. The CUDA code is C language style and has less computational restriction. Thus, usual operations of C language can run on GPU without much special knowledge. In this report, we briefly introduce CUDA language programming and report a CUDA implemented of PCA-SIFT. Compared to a CPU implementation, our CUDA implementation reduced the processing time to around 1/4. In addition, we also report an interesting phenomenon results useful for practical use of CUDA.
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