Toward accelerated stencil computation by adapting tensor core unit on GPU-Reference-Cited by-同舟云学术

Toward accelerated stencil computation by adapting tensor core unit on GPU

Published:2022-06-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 36th ACM International Conference on Supercomputing
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Author:

Liu Xiaoyan¹,Liu Yi¹,Yang Hailong¹,Liao Jianjin¹,Li Mingzhen¹,Luan Zhongzhi¹,Qian Depei¹

Affiliation:

1. Beihang University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524059.3532392

Reference48 articles.

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3. 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).

4. Efficient tensor core-based GPU kernels for structured sparsity under reduced precision

5. Rezaul Chowdhury , Francesco Silvestri , and Flavio Vella . 2021 . Algorithm Design for Tensor Units. In European Conference on Parallel Processing. Springer, 353--367 . Rezaul Chowdhury, Francesco Silvestri, and Flavio Vella. 2021. Algorithm Design for Tensor Units. In European Conference on Parallel Processing. Springer, 353--367.

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