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Listar por autor "Dufrechou, Ernesto"

Mostrando ítems 1-5 de 5

Accelerating the task/data-parallel version of ILUPACK¿s BiCG in multi-CPU/GPU configurations

Aliaga, Jose I.; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Ortí, Enrique S. (Elsevier, 2019-07)

[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 ...
An efficient GPU version of the preconditioned GMRES method

Aliaga, Jose I.; Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. (Springer-Verlag, 2019-03)

[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 ...
Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators

Benner, Peter; Dufrechou, Ernesto; Ezzatti, Pablo; Gallardo, Rodrigo; Quintana-Ortí, Enrique S. (Springer-Verlag, 2021-09)

[EN] We investigate the factorized solution of generalized stable Sylvester equations such as those arising in model reduction, image restoration, and observer design. Our algorithms, based on the matrix sign function, ...
Machine learning for optimal selection of sparse triangular system solvers on GPUs

Dufrechou, Ernesto; Ezzatti, Pablo; Freire, Manuel; Quintana-Ortí, Enrique S. (Elsevier, 2021-12)

[EN] Many numerical algorithms for science and engineering applications require the solution of sparse triangular linear systems (sptrsv) as their most costly stage. For this reason, considerable research has been dedicated ...
Selecting optimal SpMV realizations for GPUs via machine learning

Dufrechou, Ernesto; Ezzatti, Pablo; Quintana-Orti, Enrique S. (SAGE Publications, 2021-05)

[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 ...