Register-based implementation of the sparse general matrix-matrix multiplication on GPUs
Junhong Liu, Xin James He, Weifeng Liu, Guangming Tan · 2018
General sparse matrix-matrix multiplication (SpGEMM) is an essential building block in a number of applications. In our work, we fully utilize GPU registers and shared memory to implement an efficient and load balanced SpGEMM in comparison with the existing implementations.