EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications

Yu Lu, Ce Yu, Jian Xiao 0001, Hao Wang, Hao Fu, Shanjiang Tang, Bo Kang, Gang Zheng. EasyNUSC: An Efficient Heterogeneous Computing Framework for Non-uniform Sampling Two-Dimensional Convolution Applications. In Weizhi Meng 0001, Rongxing Lu, Geyong Min, Jaideep Vaidya, editors, Algorithms and Architectures for Parallel Processing - 22nd International Conference, ICA3PP 2022, Copenhagen, Denmark, October 10-12, 2022, Proceedings. Volume 13777 of Lecture Notes in Computer Science, pages 707-721, Springer, 2022. [doi]

Abstract

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