RT info:eu-repo/semantics/article
T1 Performance improvement of the triangular matrix product in commodity clusters
A1 Santamaria-Valenzuela, Inmaculada
A1 Carratalá-Sáez, Rocío
A1 Torres, Yuri
A1 Llanos, Diego R.
A1 Gonzalez-Escribano, Arturo
K1 Informática
K1 Commodity clusters · Triangular matrix product · TRMM · SLATE · ScaLAPACK
K1 1203 Ciencia de Los Ordenadores
K1 3304 Tecnología de Los Ordenadores
AB 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.
PB Springer
SN 0920-8542
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/69760
UL https://uvadoc.uva.es/handle/10324/69760
LA eng
NO 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
DS UVaDOC
RD 24-nov-2024