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dc.contributor.authorSukkari, Dalal
dc.contributor.authorLtaief, Hatem
dc.contributor.authorSchmidr, Drew
dc.contributor.authorGonzalez F, Eduardo
dc.date.accessioned2021-03-18T11:37:59Z
dc.date.available2021-03-18T11:37:59Z
dc.date.issued2017-11-13
dc.identifier.urihttp://hdl.handle.net/10754/668119
dc.description.abstractThe KAUST SVD (KSVD) is a high performance software framework for computing a dense SVD on distributed-memory manycore systems.
dc.publisherGithub
dc.relation.urlhttps://github.com/ecrc/ksvd
dc.titleecrc/ksvd: The KAUST SVD (KSVD) is a high performance software framework for computing a dense SVD on distributed-memory manycore systems.
dc.typeSoftware
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentExtreme Computing Research Center
dc.contributor.institutionCray EMEA Research Lab (CERL)
kaust.personSukkari, Dalal E.
kaust.personLtaief, Hatem
dc.relation.issupplementtoDOI:10.25781/KAUST-R20B1
dc.relation.issupplementtoDOI:10.1145/3309548
display.relations<b>Is Supplement To:</b><br/> <ul><li><i>[Dissertation]</i> <br/> Sukkari, D. (2019). High Performance Polar Decomposition on Manycore Systems and its application to Symmetric Eigensolvers and the Singular Value Decomposition. KAUST Research Repository. https://doi.org/10.25781/KAUST-R20B1. DOI: <a href="https://doi.org/10.25781/KAUST-R20B1" >10.25781/KAUST-R20B1</a> Handle: <a href="http://hdl.handle.net/10754/652466" >10754/652466</a></a></li><li><i>[Article]</i> <br/> Sukkari, D., Ltaief, H., Esposito, A., & Keyes, D. (2019). A QDWH-based SVD Software Framework on Distributed-memory Manycore Systems. ACM Transactions on Mathematical Software, 45(2), 1–21. doi:10.1145/3309548. DOI: <a href="https://doi.org/10.1145/3309548" >10.1145/3309548</a> Handle: <a href="http://hdl.handle.net/10754/626212" >10754/626212</a></a></li></ul>
dc.identifier.githubecrc/ksvd


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