mpfft: an auto-tuning fft library for opencl gpus
文献类型：会议论文
| 作者 | Li Yan ; Zhang Yun-Quan ; Liu Yi-Qun ; Long Guo-Ping ; Jia Hai-Peng |
| 出版日期 | 2013 |
| 关键词 | Medical imaging Program processors |
| 页码 | 90-105 |
| 中文摘要 | Fourier methods have revolutionized many fields of science and engineering, such as astronomy, medical imaging, seismology and spectroscopy, and the fast Fourier transform (FFT) is a computationally efficient method of generating a Fourier transform. The emerging class of high performance computing architectures, such as GPU, seeks to achieve much higher performance and efficiency by exposing a hierarchy of distinct memories to software. However, the complexity of GPU programming poses a significant challenge to developers. In this paper, we propose an automatic performance tuning framework for FFT on various OpenCL GPUs, and implement a high performance library named MPFFT based on this framework. For power-of-two length FFTs, our library substantially outperforms the clAmdFft library on AMD GPUs and achieves comparable performance as the CUFFT library on NVIDIA GPUs. Furthermore, our library also supports non-power-of-two size. For 3D non-power-of-two FFTs, our library delivers 1.5x to 28x faster than FFTW with 4 threads and 20.01x average speedup over CUFFT 4.0 on Tesla C2050. © 2013 Springer Science+Business Media New York & Science Press, China. |
| 英文摘要 | Fourier methods have revolutionized many fields of science and engineering, such as astronomy, medical imaging, seismology and spectroscopy, and the fast Fourier transform (FFT) is a computationally efficient method of generating a Fourier transform. The emerging class of high performance computing architectures, such as GPU, seeks to achieve much higher performance and efficiency by exposing a hierarchy of distinct memories to software. However, the complexity of GPU programming poses a significant challenge to developers. In this paper, we propose an automatic performance tuning framework for FFT on various OpenCL GPUs, and implement a high performance library named MPFFT based on this framework. For power-of-two length FFTs, our library substantially outperforms the clAmdFft library on AMD GPUs and achieves comparable performance as the CUFFT library on NVIDIA GPUs. Furthermore, our library also supports non-power-of-two size. For 3D non-power-of-two FFTs, our library delivers 1.5x to 28x faster than FFTW with 4 threads and 20.01x average speedup over CUFFT 4.0 on Tesla C2050. © 2013 Springer Science+Business Media New York & Science Press, China. |
| 收录类别 | EI |
| 会议录 | Journal of Computer Science and Technology
 |
| 语种 | 英语 |
| ISSN号 | 1000-9000 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15976]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Li Yan,Zhang Yun-Quan,Liu Yi-Qun,et al. mpfft: an auto-tuning fft library for opencl gpus[C]. 见:. |
入库方式： OAI收割
来源：软件研究所
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