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oai:uvadoc.uva.es:10324/744462025-10-20T13:20:49Zcom_10324_1165com_10324_931com_10324_894col_10324_1335

Cámara Moreno, Jesús Cano, José Carlos Cuenca, Javier Saura Sánchez, Mariano 2025-01-27T16:18:17Z 2025-01-27T16:18:17Z 2022 The Journal of Supercomputing, 2022, Volume 78, Issue 15, Pages 17231-17246 0920-8542 https://uvadoc.uva.es/handle/10324/74446 10.1007/s11227-022-04537-w 17231 15 17246 The Journal of Supercomputing 78 1573-0484 PARCSIM is a parallel software simulator that allows a user to capture, through a graphical interface, matrix algorithm schemes that solve scientific problems. With this tool, the user can analyse the execution times that would be obtained by using different spatio-temporal mapping of computational tasks on available computational units, parallelism parameters and computational libraries. Furthermore, for complex problem models, the self-optimization engine incorporated in this tool analyses the huge tree of possible calculations grouping and mapping strategies in search of the choice that makes the best use of the available hardware resources. This tool also offers polyalgorithmic resolution by making automatically the best decision between different software approaches to solve a given problem on the hardware system available. This work shows the usefulness of this simulator to efficiently solve hierarchical problems constructed from previously modelled subproblems. This task is performed by reusing, in a scalable way, the optimization information of these subproblems to establish the best execution configuration for the composite problem. eng info:eu-repo/semantics/openAccess info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ © Autores Attribution- 4.0 Internacional Computación Heterogénea Computación Paralela Auto-Tuning PARCSIM: a parallel computing simulator for scalable software optimization info:eu-repo/semantics/article