[EN] ILUPACK is a valuable tool for the solution of sparse linear systems via iterative Krylov subspace-based methods. Its relevance for the solution of real problems has motivated several efforts to enhance its performance ...
[EN] We contribute to the optimization of the sparse matrix-vector product by introducing a variant of the coordinate sparse matrix format that balances the workload distribution and compresses both the indexing arrays and ...
Lamas Daviña, Alejandro; Ramos Peinado, Enrique; Román Moltó, José Enrique(Elsevier, 2016-12)
The numerical simulation of molecular clusters formed by a finite number of exchange-coupled
paramagnetic centers is very relevant for many applications, modeling systems between molecules and
extended solids. In the ...
[EN] More than 10 years of research related to the development of efficient GPU routines for the sparse matrix-vector product (SpMV) have led to several realizations, each with its own strengths and weaknesses. In this ...