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dc.contributor.authorGuerrero, Ginés David
dc.contributor.authorImbernón Tudela, Baldomero
dc.contributor.authorPérez Sánchez, Horacio
dc.contributor.authorSanz, Francisco
dc.contributor.authorGarcía Carrasco, José Manuel
dc.contributor.authorCecilia Canales, José María
dc.date.accessioned2018-05-10T08:09:49Z
dc.date.available2018-05-10T08:09:49Z
dc.date.issued2014-06
dc.identifier.citationGuerrero, G. D., Imbernón, B., Pérez-Sánchez, H., Sanz, F., García, J. M., & Cecilia, J. M. (2014). A performance/cost evaluation for a GPU-based drug discovery application on volunteer computing. BioMed research international, 2014.es
dc.identifier.issn2314-6133
dc.identifier.urihttp://hdl.handle.net/10952/3102
dc.description.abstractBioinformatics is an interdisciplinary research field that develops tools for the analysis of large biological databases, and, thus, the use of high performance computing (HPC) platforms is mandatory for the generation of useful biological knowledge. The latest generation of graphics processing units (GPUs) has democratized the use of HPC as they push desktop computers to cluster-level performance. Many applications within this field have been developed to leverage these powerful and low-cost architectures. However, these applications still need to scale to larger GPU-based systems to enable remarkable advances in the fields of healthcare, drug discovery, genome research, etc. The inclusion of GPUs in HPC systems exacerbates power and temperature issues, increasing the total cost of ownership (TCO). This paper explores the benefits of volunteer computing to scale bioinformatics applications as an alternative to own large GPU-based local infrastructures. We use as a benchmark a GPU-based drug discovery application called BINDSURF that their computational requirements go beyond a single desktop machine. Volunteer computing is presented as a cheap and valid HPC system for those bioinformatics applications that need to process huge amounts of data and where the response time is not a critical factor.es
dc.language.isoenes
dc.publisherHindawi Publishing Corporationes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBINDSURFes
dc.subjectHPCes
dc.subjectVolunteer computinges
dc.subjectBioinformaticses
dc.titleA Performance/Cost Evaluation for a GPU-Based Drug Discovery Application on Volunteer Computinges
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleBioMed Research Internationales
dc.volume.number2014es
dc.issue.number1es
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