Zobrazit minimální záznam



dc.contributor.authorHladík , Jakub
dc.contributor.authorLórencz , Róbert
dc.contributor.authorŠimeček , Ivan
dc.date.accessioned2017-02-09T08:07:00Z
dc.date.available2017-02-09T08:07:00Z
dc.date.issued2013
dc.identifier.citationActa Polytechnica. 2013, vol. 53, no. 2.
dc.identifier.issn1210-2709 (print)
dc.identifier.issn1805-2363 (online)
dc.identifier.urihttp://hdl.handle.net/10467/67054
dc.description.abstractIn this paper, we present a GPU-accelerated hybrid system that solves ill-conditioned systems of linear equations exactly. Exactly means without rounding errors due to using integer arithmetics. First, we scale floating-point numbers up to integers, then we solve dozens of SLEs within different modular arithmetics and then we assemble sub-solutions back using the Chinese remainder theorem. This approach effectively bypasses current CPU floating-point limitations. The system is capable of solving Hilbert’s matrix without losing a single bit of precision, and with a significant speedup compared to existing CPU solvers.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherČeské vysoké učení technické v Prazecs
dc.publisherCzech Technical University in Pragueen
dc.relation.ispartofseriesActa Polytechnica
dc.relation.urihttps://ojs.cvut.cz/ojs/index.php/ap/article/view/1795
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectinteger arithmeticen
dc.subjectmodular arithmeticen
dc.subjectHilbert’s matrixen
dc.subjecterror-freeen
dc.subjectGPGPUen
dc.subjectsolveren
dc.subjectOpenCLen
dc.subjectoptimizations.en
dc.titleClock Math — a System for Solving SLEs Exactly
dc.typearticleen
dc.date.updated2017-02-09T08:07:00Z
dc.rights.accessopenAccess
dc.type.statusPeer-reviewed
dc.type.versionpublishedVersion


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Zobrazit minimální záznam

Creative Commons Attribution 4.0 International License
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