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oai:uvadoc.uva.es:10324/697602025-12-16T09:28:33Zcom_10324_1165com_10324_931com_10324_894col_10324_1335

Performance improvement of the triangular matrix product in commodity clusters Santamaría Valenzuela, María Inmaculada Carratalá Sáez, Rocío Torres de la Sierra, Yuri Llanos Ferraris, Diego Rafael González Escribano, Arturo Informática Commodity clusters · Triangular matrix product · TRMM · SLATE · ScaLAPACK 1203 Ciencia de Los Ordenadores 3304 Tecnología de Los Ordenadores There are many works devoted to improving the matrix product computation, as it is used in a wide variety of scientific applications arising from many different fields. In this work, we propose alternative data distribution policies and communication patterns to reduce the elapsed time when computing triangular matrix products in distributed memory environments. In particular, we focus on commodity clusters, where the number of nodes is limited, proposing alternatives to traditional approaches in order to improve this operation’s performance. Our proposal overcomes the performance results associated with the state-of-the-art libraries, such as ScaLAPACK and SLATE, offering execution times that are up to 30% faster. This work was supported in part by the Spanish Ministerio de Ciencia e Innovación and by the European Regional Development Fund (ERDF) program of the European Union, under Grant PID2022-142292NB-I00 (NATASHA Project); and in part by the Junta de Castilla y León - FEDER Grants, under Grant VA226P20 (PROPHET-2 Project), Junta de Castilla y León, Spain. This work was also supported in part by grant TED2021-130367B-I00, funded by MCIN/AEI/10.13039/501100011033 and by “European Union NextGenerationEU/PRTR“. The CESGA - Finisterrae III supercomputing resources were accessed thanks to the project IM-2023-3-0020 from the Red Española de Supercomputación (RES). 2024-09-15T08:52:24Z 2024-09-15T08:52:24Z 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://doi.org/10.1007/s11227-024-06097-7 Performance improvement of the triangular matrix product in commodity clusters, I. Santamaria-Valenzuela, R. Carratalá-Sáez, Y. Torres, Diego R. Llanos, A. Gonzalez-Escribano. The Journal of Supercomputing, vol. 80, pp 166320-16653, 2024 0920-8542 https://uvadoc.uva.es/handle/10324/69760 16630 11 16653 The Journal of Supercomputing 80 1573-0484 eng https://link.springer.com/article/10.1007/s11227-024-06097-7 info:eu-repo/semantics/openAccess application/pdf Springer