"EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform ..."

Yu Lu et al. (2022)

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DOI: 10.1007/978-3-031-22677-9_38

access: closed

type: Conference or Workshop Paper

metadata version: 2023-01-18

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Yu Lu, Ce Yu, Jian Xiao, Hao Wang, Hao Fu, Shanjiang Tang, Bo Kang, Gang Zheng:
EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications. ICA3PP 2022: 707-721

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