RT info:eu-repo/semantics/article
T1 PARCSIM: a parallel computing simulator for scalable software optimization
A1 Cámara Moreno, Jesús
A1 Cano, José Carlos
A1 Cuenca, Javier
A1 Saura Sánchez, Mariano
K1 Computación Heterogénea
K1 Computación Paralela
K1 Auto-Tuning
K1 Hierarchical Parallel Software
K1 Polyalgorithm
K1 Autotuning
K1 1203 Ciencia de Los Ordenadores
K1 3304 Tecnología de Los Ordenadores
AB 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.
PB Springer
SN 0920-8542
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/74446
UL https://uvadoc.uva.es/handle/10324/74446
LA eng
NO The Journal of Supercomputing, 2022, Volume 78, Issue 15, Pages 17231-17246
NO Producción Científica
DS UVaDOC
RD 06-abr-2025