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 ...
A roadmap for autotuning task-based numerical libraries is presented. Carefully chosen experiments are carried out when the numerical library is being ...
On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures. Jesús Cámara. Joint work with. E. Agullo, J. Cuenca and D. Giménez.
On the Autotuning of Task-Based Numerical Libraries for Heterogeneous Architectures. E. Agullo, J. Cámara, J. Cuenca, and D. Giménez. PARCO, volume 36 of ...
Jul 3, 2023 · This work presents several self-optimization strategies to improve the performance of task-based linear algebra software on heterogeneous systems.
This paper studies empirical auto-tuning techniques to achieve optimum load balance between a multicore CPU and different possible manycore coprocessors (single ...
A roadmap for autotuning task-based numerical libraries is presented. Carefully chosen experiments are carried out when the numerical library is being ...
Abstract. This work presents several self-optimization strategies to im- prove the performance of task-based linear algebra software on hetero-.
On the autotuning of task- ased numerical libraries for heterogeneous architectures. Advances in Parallel Computing. Trabeculated myocardium in hypertrophic ...
To solve the mapping problem in this more general setting, we present AutoMap, a system that automates and optimizes the map- ping of tasks to processors and ...