2026-05-19T03:29:56Zhttps://uvadoc.uva.es/oai/request

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

Santamaría Valenzuela, María Inmaculada a0d82227-b553-434a-a13e-74c4e172a74a 600 Carratalá Sáez, Rocío 1c3a395e-6d6d-4c9b-8029-01667a6e2f1c 600 Torres de la Sierra, Yuri 58ab703c3490225a 600 0000-0002-3037-3567 Llanos Ferraris, Diego Rafael 0eb6c72a1ecd19fb 600 0000-0001-6240-9109 González Escribano, Arturo 90b35e33f5bb40b4 600 0000-0002-3037-3567 2024-09-15T08:52:24Z 2024-09-15T08:52:24Z 2024 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 10.1007/s11227-024-06097-7 16630 11 16653 The Journal of Supercomputing 80 1573-0484 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). application/pdf eng Springer info:eu-repo/semantics/openAccess Informática Commodity clusters · Triangular matrix product · TRMM · SLATE · ScaLAPACK 1203 Ciencia de Los Ordenadores 3304 Tecnología de Los Ordenadores Performance improvement of the triangular matrix product in commodity clusters info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://link.springer.com/article/10.1007/s11227-024-06097-7 SI THUMBNAIL Performance_improvement_of_the_triangular_matrix_p.pdf.jpg Performance_improvement_of_the_triangular_matrix_p.pdf.jpg IM Thumbnail image/jpeg 1673 https://uvadoc.uva.es/bitstream/10324/69760/3/Performance_improvement_of_the_triangular_matrix_p.pdf.jpg c34a34c0de60739a66a2904d764f98c5 MD5 3 LICENSE license.txt license.txt text/plain 3929 https://uvadoc.uva.es/bitstream/10324/69760/2/license.txt 289d98c1665ee0d20312360f0e8643c8 MD5 2 ORIGINAL Performance_improvement_of_the_triangular_matrix_p.pdf Performance_improvement_of_the_triangular_matrix_p.pdf application/pdf 2514905 https://uvadoc.uva.es/bitstream/10324/69760/1/Performance_improvement_of_the_triangular_matrix_p.pdf 025cf8655acac46c5232021199be0591 MD5 1 10324/69760 oai:uvadoc.uva.es:10324/69760 2025-12-16 10:28:33.875 UVaDOC repositorio@uva.es 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