Optimization of Large-Scale Sparse Matrix-Vector Multiplication on Multi-GPU Systems
Sparse matrix-vector multiplication (SpMV) is one of the important kernels of many iterative
algorithms for solving sparse linear systems. The limited storage and computational …
algorithms for solving sparse linear systems. The limited storage and computational …
CSR2: a new format for SIMD-accelerated SpMV
SpMV (Sparse matrix-vector multiplication) has attracted the attention of researchers in
related fields at home and abroad. Of course, improving SpMV performance has also been a …
related fields at home and abroad. Of course, improving SpMV performance has also been a …
A Systematic Literature Survey of Sparse Matrix-Vector Multiplication
Sparse matrix-vector multiplication (SpMV) is a crucial computing kernel with widespread
applications in iterative algorithms. Over the past decades, research on SpMV optimization …
applications in iterative algorithms. Over the past decades, research on SpMV optimization …
ahSpMV: An autotuning hybrid computing scheme for SpMV on the sunway architecture
The prevalence of the Internet of Things (IoT) and the explosion of available information on
the Web have led to an enormous amount of widely available IoT data sets with sparsity …
the Web have led to an enormous amount of widely available IoT data sets with sparsity …
A simple and efficient storage format for SIMD-accelerated SpMV
SpMV (Sparse matrix-vector multiplication) is an essential component in scientific computing
and has attracted the attention of researchers in related fields at home and abroad. With the …
and has attracted the attention of researchers in related fields at home and abroad. With the …