ASPLOS'24 - Lightning Talks - Session 7A - FEASTA: A Flexible and Efficient Accelerator for Sparse T

ASPLOS'24: International Conference on Architectural Support for Programming Languages and Operating Systems

Lightning Talks - Session 7A: Architecture Support for ML

Paper Title: FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning

Authors: Kai Zhong and Zhenhua Zhu (Tsinghua University); Guohao Dai (Shanghai Jiao Tong University and Infinigence-AI); Hongyi Wang, Xinhao Yang, and Haoyu Zhang (Tsinghua University); Jin Si (Beijing University of Posts and Telecommunications);Qiuli Mao (Tsinghua University); Shulin Zeng (Tsinghua University and Infinigence-AI); Ke Hong (Tsinghua University); Genghan Zhang (Stanford University); Huazhong Yang and Yu Wang (Tsinghua University)