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dc.contributor.authorAsenjo Plaza, Rafael
dc.contributor.authorPlata, Oscar
dc.contributor.authorTouriño, Juan
dc.contributor.authorZapata, Emilio L.
dc.contributor.authorDoallo, Ramón
dc.date.accessioned2019-03-26T17:42:40Z
dc.date.available2019-03-26T17:42:40Z
dc.date.issued1998
dc.identifier.citationAsenjo R., Plata O., Zapata E.L., Touriño J., Doallo R. (1999) HPF-2 Support for Dynamic Sparse Computations. In: Chatterjee S. et al. (eds) Languages and Compilers for Parallel Computing. LCPC 1998. Lecture Notes in Computer Science, vol 1656. Springer, Berlin, Heidelberges_ES
dc.identifier.isbn978-3-540-66426-0
dc.identifier.isbn978-3-540-48319-9
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/2183/22370
dc.descriptionThis is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: https://doi.org/10.1007/3-540-48319-5_15es_ES
dc.description.abstract[Abstract] There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and involve row and column operations (pivoting). This paper addresses the problem of the parallelization of these sparse computations from the point of view of the parallel language and the compiler. Dynamic data structures for sparse matrix storage are analyzed, permitting to efficiently deal with fill-in and pivoting issues. Any of the data representations considered enforces the handling of indirections for data accesses, pointer referencing and dynamic data creation. All of these elements go beyond current data-parallel compilation technology. We propose a small set of new extensions to HPF-2 to parallelize these codes, supporting part of the new capabilities on a runtime library. This approach has been evaluated on a Cray T3E, implementing, in particular, the sparse LU factorization.es_ES
dc.description.sponsorshipMinisterio de Educación y Ciencia; TIC96-1125-C03es_ES
dc.description.sponsorshipXunta de Galicia; XUGA20605B96es_ES
dc.description.sponsorshipEuropean Commision; BRITE-EURAM III BE95-1564es_ES
dc.description.sponsorshipEuropean Commision; ERB4050P1921660es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.urihttps://doi.org/10.1007/3-540-48319-5_15es_ES
dc.subjectSparse matrixes_ES
dc.subjectSparse codees_ES
dc.subjectStorage schemees_ES
dc.subjectSparse arrayes_ES
dc.subjectRuntime libraryes_ES
dc.titleHPF-2 Support for Dynamic Sparse Computationses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleLecture Notes in Computer Sciencees_ES
UDC.volume1656es_ES
UDC.startPage230es_ES
UDC.endPage246es_ES
dc.identifier.doi10.1007/3-540-48319-5_15
UDC.conferenceTitle11th International Workshop, LCPC’98 Chapel Hill, NC, USA, August 7–9, 1998es_ES


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