103 citations · 198 across the 4 of their papers we have counts for
4 papers
Implementing Performance Portability of High Performance Computing Programs in the New Golden Age of Chip Architecture
Weifeng Liu, Linping Wu, Xiaowen Xu +1
As an important goal of high-performance computing, the concept of performance portability has been around for many years. As the failure of Moore's Law, it is no longer feasible t…
CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication
Weifeng Liu, Brian Vinter
Sparse matrix-vector multiplication (SpMV) is a fundamental building block for numerous applications. In this paper, we propose CSR5 (Compressed Sparse Row 5), a new storage format…
Speculative Segmented Sum for Sparse Matrix-Vector Multiplication on Heterogeneous Processors
Weifeng Liu, Brian Vinter
Sparse matrix-vector multiplication (SpMV) is a central building block for scientific software and graph applications. Recently, heterogeneous processors composed of different type…
A Framework for General Sparse Matrix-Matrix Multiplication on GPUs and Heterogeneous Processors
Weifeng Liu, Brian Vinter
General sparse matrix-matrix multiplication (SpGEMM) is a fundamental building block for numerous applications such as algebraic multigrid method (AMG), breadth first search and sh…