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Garba, Michael T. , González-Vélez, Horacio and Roach, Daniel L. (2011) Adjustable GPU Acceleration for Hermitian Eigensystems. In: Researchgate.net.
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Abstract
This paper explores the early implementation of high-performance routines for the solution of multiple large Hermitian eigenvector and eigenvalue systems on a Graphics Processing Unit (GPU). We report a performance increase of up to two orders of magnitude over the original eispack routines with a NVIDIA Tesla C2050 GPU, potentially allowing an order of magnitude increase in the complexity or resolution of a Inelastic Neutron Scattering (INS) modelling application.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science |
| Divisions: | School of Computing > Staff Research and Publications |
| Depositing User: | Caoimhe Ní Mhaicín |
| Date Deposited: | 04 Mar 2014 10:28 |
| Last Modified: | 30 May 2018 13:09 |
| URI: | https://norma.ncirl.ie/id/eprint/986 |
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