[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] In a large number of scientific applications, the solution of sparse linear systems is the stage that concentrates most of the computational effort. This situation has motivated the study and development of several ...
Carratalá Sáez, Rocío(Universitat Politècnica de València, 2016-09-02)
[EN] Hierarchical matrices are a numerical tool for representing, in a sparse way and in a linear-logarithmic storage cost, dense problems that arise in integral and partial differential equations. For some basic linear ...
[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 ...
[EN] We address the parallelization of the LU factorization of hierarchical matrices (H-matrices) arising from boundary element methods. Our approach exploits task-parallelism via the OmpSs programming model and runtime, ...
Aliaga, Jose I.; Alonso Jordá, Pedro; Badía Contelles, José Manuel; Chacon, Pablo; Davidovic, Davo; Lopez-Blanco, Jose R.; Quintana-Orti, Enrique S(Elsevier, 2016-03-15)
We introduce a new iterative Krylov subspace-based eigensolver for the simulation of
macromolecular motions on desktop multithreaded platforms equipped with multicore
processors and, possibly, a graphics accelerator ...
[EN] The Preconditioned Conjugate Gradient method is often employed for the solution of linear systems of equations arising in numerical simulations of physical phenomena. While being widely used, the solver is also known ...