Igual, Francisco D.Costero Valero, Luis MaríaIgual Peña, Francisco DanielOlcoz Herrero, KatzalinTirado Fernández, José Francisco2024-02-092024-02-092017978-1-5386-3250-5https://hdl.handle.net/20.500.14352/101021We present a family of policies that, integrated within a runtime task scheduler (Nanox), pursue the goal of improving the energy efficiency of task-parallel executions with no intervention from the programmer. The proposed policies tackle the problem by modifying the core operating frequency via DVFS mechanisms, or by enabling/disabling the mapping of tasks to specific cores at selected execution points, depending on the internal status of the scheduler. Experimental results on an asymmetric SoC (Exynos 5422) and for a specific operation (Cholesky factorization) reveal gains up to 29% in terms of energy efficiency and considerable reductions in average powerengAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/Energy efficiency optimization of task-parallel codes on asymmetric architecturesconference paperopen accessHardwareProgramación de ordenadores (Informática)3304.06 Arquitectura de Ordenadores