4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.DC2019
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks
Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima +1
Graph Convolutional Networks (GCNs) are recently getting much attention in bioinformatics and chemoinformatics as a state-of-the-art machine learning approach with high accuracy. G…
cs.DC2018★ 4 cited
High-performance sparse matrix-matrix products on Intel KNL and multicore architectures
Yusuke Nagasaka, Satoshi Matsuoka, Ariful Azad +1
Sparse matrix-matrix multiplication (SpGEMM) is a computational primitive that is widely used in areas ranging from traditional numerical applications to recent big data analysis a…