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Utility of Graphics Processing Units for Dense Matrix Calculations in Computing and Inverting Genomic Relationship Matrices

Karin Meyer, Bruce Tier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The era of genomic evaluation has brought the need to perform computations involving large, dense matrices. Particular tasks are the computation and inversion of the genomic relationship matrix. This paper investigates the suitability of Graphics Processing Units together with highly optimised software libraries for these computations, using blocked algorithms. It is shown that calculations are readily sped up by parallel processing, using freely available library routines, and that reductions in time by factors of 4 to 5 are achievable even for 'consumer' grade graphics cards.
Original languageEnglish
Title of host publicationProceedings of the Association for the Advancement of Animal Breeding and Genetics
EditorsNicolas Lopez Villalobos
Place of PublicationArmidale, Australia
PublisherAssociation for the Advancement of Animal Breeding and Genetics (AAABG)
Pages270-273
Volume20
ISBN (Print)9780473260569
Publication statusPublished - 2013
EventAAABG 2013: 20th Conference of the Association for the Advancement of Animal Breeding and Genetics: Translating Science into Action - Napier, New Zealand
Duration: 20 Oct 201323 Oct 2013

Conference

ConferenceAAABG 2013: 20th Conference of the Association for the Advancement of Animal Breeding and Genetics: Translating Science into Action
CityNapier, New Zealand
Period20/10/1323/10/13

Keywords

  • Genetics

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