Towards Energy Efficiency in Heterogeneous Processors: Findings on Virtual Screening Methods
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Autor/esGuerrero, Ginés David; Cebrián, Juan Manuel; García, José María; Ujaldón, Manuel; Cecilia Canales, José María; [et al.]
Disciplina/sIngeniería, Industria y Construcción
The integration of the latest breakthroughs in computational modeling and high performance computing (HPC) has leveraged advances in the fields of healthcare and drug discovery, among others. By integrating all these developments together, scientists are creating new exciting personal therapeutic strategies for living longer that were unimaginable not that long ago. However, we are witnessing the biggest revolution in HPC in the last decade. Several graphics processing unit architectures have established their niche in the HPC arena but at the expense of an excessive power and heat. A solution for this important problem is based on heterogeneity. In this paper, we analyze power consumption on heterogeneous systems, benchmarking a bioinformatics kernel within the framework of virtual screening methods. Cores and frequencies are tuned to further improve the performance or energy efficiency on those architectures. Our experimental results show that targeted low‐cost systems are the lowest...