fgSpMSpV: A fine-grained parallel SpMSpV framework on HPC platforms

Y Chen, G Xiao, K Li, F Piccialli… - ACM Transactions on …, 2022 - dl.acm.org
Sparse matrix-sparse vector (SpMSpV) multiplication is one of the fundamental and
important operations in many high-performance scientific and engineering applications. The …

tpSpMV: a two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures

Y Chen, G Xiao, F Wu, Z Tang, K Li - Information Sciences, 2020 - Elsevier
Sparse matrix-vector multiplication (SpMV) is one of the important subroutines in numerical
linear algebras widely used in lots of large-scale applications. Accelerating SpMV on …

hsSpMV: A Heterogeneous and SPM-aggregated SpMV for SW26010-Pro many-core processor

J Pan, L Xiao, M Tian, L Wang, C Yang… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
Sparse matrix vector multiplication (SpMV) is a critical performance bottleneck for numerical
simulation and artificial intelligence training. The new generation of Sunway supercomputer …