OpenFFT: An Adaptive Tuning Framework for 3D FFT on ARM Multicore CPUs-Reference-Cited by-同舟云学术

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OpenFFT: An Adaptive Tuning Framework for 3D FFT on ARM Multicore CPUs

Published:2023-06-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 37th International Conference on Supercomputing
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Author:

Chen Tun¹²^ORCID,Jia Haipeng³^ORCID,Zhang Yunquan³^ORCID,Li Kun³^ORCID,Li Zhihao⁴^ORCID,Zhao Xiang⁵^ORCID,Yao Jianyu³^ORCID,Li Chendi³^ORCID

Affiliation:

1. High Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

4. Huawei Technologies Co., Ltd., Shenzhen, China

5. Ocean University of China, Qingdao, China

Publisher

ACM

Reference44 articles.

1. Automatic translation of FORTRAN programs to vector form

2. Krste Asanovic , Ras Bodik , Bryan Christopher Catanzaro , Joseph James Gebis, Parry Husbands, Kurt Keutzer, David A Patterson, William Lester Plishker, John Shalf, Samuel Webb Williams, et al. 2006 . The landscape of parallel computing research: A view from berkeley. (2006). Krste Asanovic, Ras Bodik, Bryan Christopher Catanzaro, Joseph James Gebis, Parry Husbands, Kurt Keutzer, David A Patterson, William Lester Plishker, John Shalf, Samuel Webb Williams, et al. 2006. The landscape of parallel computing research: A view from berkeley. (2006).

3. FFTs in external or hierarchical memory

4. Dynamically Generating FFT Code;Blake Anthony;Journal of Signal Processing Systems,2014

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