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 language | English |
|---|---|
| Title of host publication | Proceedings of the Association for the Advancement of Animal Breeding and Genetics |
| Editors | Nicolas Lopez Villalobos |
| Place of Publication | Armidale, Australia |
| Publisher | Association for the Advancement of Animal Breeding and Genetics (AAABG) |
| Pages | 270-273 |
| Volume | 20 |
| ISBN (Print) | 9780473260569 |
| Publication status | Published - 2013 |
| Event | AAABG 2013: 20th Conference of the Association for the Advancement of Animal Breeding and Genetics: Translating Science into Action - Napier, New Zealand Duration: 20 Oct 2013 → 23 Oct 2013 |
Conference
| Conference | AAABG 2013: 20th Conference of the Association for the Advancement of Animal Breeding and Genetics: Translating Science into Action |
|---|---|
| City | Napier, New Zealand |
| Period | 20/10/13 → 23/10/13 |
Keywords
- Genetics
Fingerprint
Dive into the research topics of 'Utility of Graphics Processing Units for Dense Matrix Calculations in Computing and Inverting Genomic Relationship Matrices'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver