4 citations · 4 across the 5 of their papers we have counts for
Showing cs.DCShow all
3 papers · 1 filter
cs.DC2022
Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio
Zhaoyang Du, Yijin Guan, Tianchan Guan +7
Sparse general matrix multiplication (SpGEMM) is a fundamental building block in numerous scientific applications. One critical task of SpGEMM is to compute or predict the structur…
cs.DC2022
OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs
Zhaoyang Du, Yijin Guan, Tianchan Guan +4
Sparse general matrix multiplication (SpGEMM) is an important and expensive computation primitive in many real-world applications. Due to SpGEMM's inherent irregularity and the vas…
cs.DC2022
Accelerating CPU-Based Sparse General Matrix Multiplication With Binary Row Merging
Zhaoyang Du, Yijin Guan, Tianchan Guan +3
Sparse general matrix multiplication (SpGEMM) is a fundamental building block for many real-world applications. Since SpGEMM is a well-known memory-bounded application with vast an…