RT info:eu-repo/semantics/article
T1 On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures
A1 Agullo, Emmanuel
A1 Cámara, Jesús
A1 Cuenca, Javier
A1 Giménez, Domingo
K1 Computación Heterogénea
K1 Auto-Tuning
K1 Heterogeneous Computing
K1 Task-based Programming
K1 Linear Algebra
K1 Autotuning
K1 1203 Ciencia de Los Ordenadores
K1 3304 Tecnología de Los Ordenadores
AB A roadmap for autotuning task-based numerical libraries is presented. Carefully chosen experiments are carried out when the numerical library is being installed to assess its performance. Real and simulated executions are considered to optimize the routine. The discussion is illustrated with a task-based tile Cholesky factorization, and the aim is to find the optimum tile size for any problem size, using the Chameleon numerical linear algebra package on top of the StarPU runtime system and also with the SimGrid simulator. The study shows that combining a smart exploration strategy of the search space with both real and simulated executions results in a fast, reliable autotuning process.
PB IOS Press
SN 0927-5452
YR 2019
FD 2019
LK https://uvadoc.uva.es/handle/10324/74467
UL https://uvadoc.uva.es/handle/10324/74467
LA eng
NO Advances in Parallel Computing, 2019, Volume 36, Pages 157-166
NO Producción Científica
DS UVaDOC
RD 31-ene-2025