Costero Valero, Luis MaríaIgual, Francisco D.Igual Peña, Francisco DanielOlcoz Herrero, KatzalinTirado Fernández, José Francisco2024-02-092024-02-092017L. Costero, F. D. Igual, K. Olcoz and F. Tirado, "Energy Efficiency Optimization of Task-Parallel Codes on Asymmetric Architectures," 2017 International Conference on High Performance Computing & Simulation (HPCS), Genoa, Italy, 2017, pp. 402-409, doi: 10.1109/HPCS.2017.67978-1-5386-3250-5https://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 powerengEnergy efficiency optimization of task-parallel codes on asymmetric architecturesconference paperhttps://doi.org/10.1109/HPCS.2017.6710.1109/HPCS.2017.67restriction accessHardwareProgramación de ordenadores (Informática)3304.06 Arquitectura de Ordenadores