Towards ad-hoc GPU acceleration of parallel eigensystem computations
IDEAS Research Institute, Robert Gordon University, Aberdeen, UK
25th European Conference on Modelling and Simulation (ECMS 2011), 2011
@inproceedings{garba2011towards,
title={Towards ad-hoc GPU acceleration of parallel eigensystem computations},
author={GARBA, M. and Gonz{‘a}lez–V{‘e}lez, H. and Aberdeen, UK},
booktitle={ECMS 2011: 25th European Conference on Modelling and Simulation},
year={2011}
}
This paper explores the early implementation of highperformance 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 neutron scattering modeling application.
January 13, 2012 by hgpu
