Application Partitioning and Mapping Techniques for Heterogeneous Parallel Platforms

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dc.contributor.author Sotomayor Fernández, Rafael
dc.contributor.author García Sánchez, José Daniel
dc.contributor.editor Carretero Pérez, Jesús
dc.contributor.editor García Blas, Javier
dc.contributor.editor Petcu, Dana
dc.date.accessioned 2016-04-29T10:12:33Z
dc.date.available 2016-04-29T10:12:33Z
dc.date.issued 2016-02
dc.identifier.bibliographicCitation Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 65-68
dc.identifier.isbn 978-84-608-6309-0
dc.identifier.uri http://hdl.handle.net/10016/22869
dc.description Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
dc.description.abstract Parallelism has become one of the most extended paradigms used to improve performance. Legacy source code needs to be re-written so that it can take advantage of multi-core and many-core computing devices, such as GPGPU, FPGA, DSP or specific accelerators. However, it forces software developers to adapt applications and coding mechanisms in order to exploit the available computing devices. It is a time consuming and error prone task that usually results in expensive and sub-optimal parallel software. In this work, we describe a parallel programming model, a set of annotating techniques and a static scheduling algorithm for parallel applications. Their purpose is to simplify the task of transforming sequential legacy code into parallel code capable of making full use of several different computing devices with the objetive of increasing performance, lowering energy consumption and increase the productivity of the developer.
dc.description.sponsorship European Cooperation in Science and Technology. COST
dc.description.sponsorship The work presented in this paper has been partially supported by EU under the COST programme Action IC1305, ’Network for Sustainable Ultrascale Computing (NESUS)’ The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n. 609666 and by the Spanish Ministry of Economics and Competitiveness under the grant TIN2013-41350-P.
dc.format.extent 4
dc.format.mimetype application/pdf
dc.language.iso eng
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Parallel computing
dc.subject.other Heterogeneous computing
dc.subject.other Programming models
dc.subject.other Kernel partitioning
dc.title Application Partitioning and Mapping Techniques for Heterogeneous Parallel Platforms
dc.type bookPart
dc.type conferenceObject
dc.subject.eciencia Informática
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. TIN2013-41350-P
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/609666
dc.type.version publishedVersion
dc.relation.eventdate February 8-11, 2016
dc.relation.eventnumber 1
dc.relation.eventplace Rumania, Timisoara
dc.relation.eventtitle First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)
dc.relation.eventtype proceeding
dc.identifier.publicationfirstpage 65
dc.identifier.publicationlastpage 68
dc.identifier.publicationtitle Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016)
dc.identifier.uxxi CC/0000024299
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