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Dufrechou, E.; Ezzatti, P.; Freire, M.; Quintana-Ortí, ES. (2021). Machine learning for optimal selection of sparse triangular system solvers on GPUs. Journal of Parallel and Distributed Computing. 158:47-55. https://doi.org/10.1016/j.jpdc.2021.07.013
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183097
Título: | Machine learning for optimal selection of sparse triangular system solvers on GPUs | |
Autor: | Dufrechou, Ernesto Ezzatti, Pablo Freire, Manuel | |
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[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 ...[+]
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Derechos de uso: | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | |
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Versión del editor: | https://doi.org/10.1016/j.jpdc.2021.07.013 | |
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