Attaining High Performance in General-Purpose Computations on Current Graphics Processors
Francisco Igual-Peña (Dept. Ingeniería y Ciencia de los Computadores. Universidad Jaume I (Spain))Rafael Mayo-Gual (Dept. Ingeniería y Ciencia de los Computadores. Universidad Jaume I (Spain))
Enrique S. Quintana-Ortí (Dept. Ingeniería y Ciencia de los Computadores. Universidad Jaume I (Spain))
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.
Keywords:
Imaging and Graphics, General-Purpose Computing on GPUs
