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dc.contributor.authorGuerrero, Ginés David
dc.contributor.authorCebrián, Juan Manuel
dc.contributor.authorGarcía, José María
dc.contributor.authorUjaldón, Manuel
dc.contributor.authorCecilia Canales, José María
dc.contributor.authorPérez Sánchez, Horacio
dc.date.accessioned2018-05-10T09:10:01Z
dc.date.available2018-05-10T09:10:01Z
dc.date.issued2013-08-23
dc.identifier.urihttp://hdl.handle.net/10952/3113
dc.description.abstractThe 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 power consumption platforms, although the most energy efficient platform and the best suited for performance improvement is the Kepler GK110 graphics processing unit from Nvidia by using compute unified device architecture. Finally, the open computing language version of virtual screening shows a remarkable performance penalty compared with its compute unified device architecture counterpart.es
dc.language.isoenes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleTowards Energy Efficiency in Heterogeneous Processors: Findings on Virtual Screening Methodses
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleConcurrency and Computation Practice and Experiencees
dc.description.disciplineIngeniería, Industria y Construcciónes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional