Refactoring software to heterogeneous parallel platforms

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dc.contributor.author García Sánchez, José Daniel
dc.date.accessioned 2021-12-01T11:50:06Z
dc.date.available 2021-12-01T11:50:06Z
dc.date.issued 2019-08-16
dc.identifier.bibliographicCitation Garcia, J.D. Refactoring software to heterogeneous parallel platforms. J Supercomput 75, 3997–4000 (2019). https://doi.org/10.1007/s11227-019-02942-2
dc.identifier.issn 0920-8542
dc.identifier.uri http://hdl.handle.net/10016/33716
dc.description.abstract In summary, the papers included in this special issue are representative of the progress achieved by the research community at various levels from the very high level using parallel patterns to lower levels using, for example, transactional software memory. Also the integration of GPUs and FPGAs in the landscape is essential to achieve better performance in different categories of applications. All these innovative research directions will contribute to better achieve the long-term goal of better refactoring of existing applications to new and evolving parallel heterogeneous architectures.
dc.language.iso eng
dc.publisher Springer
dc.rights © 2019, Springer Science Business Media, LLC, part of Springer Nature
dc.title Refactoring software to heterogeneous parallel platforms
dc.type article
dc.subject.eciencia Informática
dc.identifier.doi https://doi.org/10.1007/s11227-019-02942-2
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 3997
dc.identifier.publicationissue 8
dc.identifier.publicationlastpage 4000
dc.identifier.publicationtitle JOURNAL OF SUPERCOMPUTING
dc.identifier.publicationvolume 75
dc.identifier.uxxi AR/0000024746
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