TY  - JOUR 
AU  - Cámara, Jesús
AU  - Cuenca, Javier
AU  - Boratto, Murilo
PY  - 2023
SN  - 0302-9743
UR  - https://uvadoc.uva.es/handle/10324/74471
AB  - This work presents several self-optimization strategies to improve the performance of task-based linear algebra software on heterogeneous systems. The study focuses on Chameleon, a task-based dense linear algebra software whose routines are computed...
LA  - eng
PB  - Springer
KW  - Computación Heterogénea
KW  - Auto-Tuning
KW  - Heterogeneous Computing
KW  - Task-based Scheduling
KW  - Linear Algebra
KW  - Autotuning
TI  - Improving the Performance of Task-Based Linear Algebra Software with Autotuning Techniques on Heterogeneous Architectures
DO  - 10.1007/978-3-031-35995-8_47
ER  -