Attaining High Performance in General-Purpose Computations on Current Graphics Processors

Authors:
Francisco D. Igual;Rafael Mayo;Enrique S. Quintana-Ortí
Affiliations:
Depto. Ingeniería y Ciencia de los Computadores, Universidad Jaume I, 12.071---Castellón, Spain;Depto. Ingeniería y Ciencia de los Computadores, Universidad Jaume I, 12.071---Castellón, Spain;Depto. Ingeniería y Ciencia de los Computadores, Universidad Jaume I, 12.071---Castellón, Spain
Venue:
High Performance Computing for Computational Science - VECPAR 2008
Year:
2008

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Abstract

The increase in performance of the last generations of graphics processors (GPUs) has made this class of hardware a coprocessing platform of remarkable success in certain types of operations. In this paper we evaluate the performance of linear algebra and image processing routines, both on classical and unified GPU architectures and traditional processors (CPUs). From this study, we gain insights on the properties that make an algorithm likely to deliver high performance on a GPU.