Xuejun An

Toward Resource-Efficient Billion-Scale SpGEMM on CPU-GPU Heterogeneous Server

Sparse GEneral Matrix Multiplication (SpGEMM) is one of the most vital kernels in massive research domains, including bioinformatics, graph analytics, and machine learning. Moreover, with the prosperity of the Big Data era, nonzero elements in sparse matrices of SpGEMM boost rapidly into the magnitude of billions. Thus...