mpfft: an auto-tuning fft library for opencl gpus

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	mpfft: an auto-tuning fft library for opencl gpus
	Li Yan ; Zhang Yun-Quan ; Liu Yi-Qun ; Long Guo-Ping ; Jia Hai-Peng
	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
内容类型	会议论文
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:.