Iterative solution of linear systems in electromagnetics (and not only): Experiences with CUDA
D De Donno, A Esposito, G Monti… - Euro-Par 2010 Parallel …, 2011 - Springer
D De Donno, A Esposito, G Monti, L Tarricone
Euro-Par 2010 Parallel Processing Workshops: HeteroPar, HPCC, HiBB, CoreGrid …, 2011•SpringerIn this paper, we propose the use of graphics processing units as a low-cost and efficient
solution of electromagnetic (and other) numerical problems. Based on the software platform
CUDA (Compute Unified Device Architecture), a solver for unstructured sparse matrices with
double precision complex data has been implemented and tested for several practical
cases. Benchmark results confirm the validity of the proposed software in terms of speed-up,
speed and GPU execution time.
solution of electromagnetic (and other) numerical problems. Based on the software platform
CUDA (Compute Unified Device Architecture), a solver for unstructured sparse matrices with
double precision complex data has been implemented and tested for several practical
cases. Benchmark results confirm the validity of the proposed software in terms of speed-up,
speed and GPU execution time.
Abstract
In this paper, we propose the use of graphics processing units as a low-cost and efficient solution of electromagnetic (and other) numerical problems. Based on the software platform CUDA (Compute Unified Device Architecture), a solver for unstructured sparse matrices with double precision complex data has been implemented and tested for several practical cases. Benchmark results confirm the validity of the proposed software in terms of speed-up, speed and GPU execution time.
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