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dc.contributor.authorLow, Tze Meng
dc.contributor.authorIgual, Francisco D.
dc.contributor.authorSmith, Tyler M.
dc.contributor.authorQuintana Ortí, Enrique S.
dc.date.accessioned2016-10-17T10:02:09Z
dc.date.available2016-10-17T10:02:09Z
dc.date.issued2016-09
dc.identifier.citationLOW, Tze Meng; IGUAL PEÑA, Francisco Daniel; SMITH, Tyler M.; QUINTANA ORTÍ, Enrique S. Analytical Modeling Is Enough for High-Performance BLIS. ACM Transactions on Mathematical Software (2016), v. 43, issue 2, pp. 12:1-12:18ca_CA
dc.identifier.urihttp://hdl.handle.net/10234/163618
dc.description.abstractWe show how the BLAS-like Library Instantiation Software (BLIS) framework, which provides a more detailed layering of the GotoBLAS (now maintained as OpenBLAS) implementation, allows one to analytically determine tuning parameters for high-end instantiations of the matrix-matrix multiplication. This is of both practical and scientific importance, as it greatly reduces the development effort required for the implementation of the level-3 BLAS while also advancing our understanding of how hierarchically layered memories interact with high-performance software. This allows the community to move on from valuable engineering solutions (empirically autotuning) to scientific understanding (analytical insight).ca_CA
dc.description.sponsorShipThis research was sponsored in part by NSF grants ACI-1148125/1340293 and CCF-0917167. Enrique S. Quintana-Ortí was supported by project TIN2011-23283 of the Ministerio de Ciencia e Innovacióon and FEDER. Francisco D. Igual was supported by project TIN2012-32180 of the Ministerio de Ciencia e Innovación.ca_CA
dc.format.extent19 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherACMca_CA
dc.relation.isPartOfACM Transactions on Mathematical Software (2016), v. 43, issue 2ca_CA
dc.subjectMathematics of computingca_CA
dc.subjectMathematical software performanceca_CA
dc.subjectLinear algebraca_CA
dc.subjectLibrariesca_CA
dc.subjectHigh performanceca_CA
dc.subjectMatrix multiplicationca_CA
dc.subjectAnalytical modelingca_CA
dc.titleAnalytical Modeling is Enough for High Performance BLISca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1145/2925987
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttp://dl.acm.org/citation.cfm?id=2988256&picked=prox&cfid=682605295&cftoken=44687337ca_CA
dc.editionPostprintca_CA


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