2026-05-05T10:20:00Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/744462025-10-20T13:20:49Zcom_10324_1165com_10324_931com_10324_894col_10324_1335
UVaDOC
author
Cámara Moreno, Jesús
author
Cano, José Carlos
author
Cuenca, Javier
author
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
Attribution- 4.0 Internacional
Computación Heterogénea
Computación Paralela
Auto-Tuning
PARCSIM: a parallel computing simulator for scalable software optimization
info:eu-repo/semantics/article
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https://uvadoc.uva.es/bitstream/10324/74446/1/PARCSIM_JoSC_2022.pdf
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PARCSIM_JoSC_2022.pdf