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Towards ad-hoc GPU acceleration of parallel eigensystem computations

Michael T. Garba, Horacio Gonzalez-Velez
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}

}

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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.
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