Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms
Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone · Advances in parallel computing · 2014
Hybrid GPU/CPU clusters are becoming very popular in the scientific computing community, as attested by the number of such systems present in the Top 500 list. In this paper, we address one of the key algorithms for scientific applications: the computation of sparse matrix-vector products that lies at the heart of iterative solvers for sparse linear systems.