GPUBench is a benchmark suite designed to analyze the performance of programmable graphics processors in areas of particular importance to general purpose computation. Included in the suite are tests that rigorously exercise a system’s GPU, determining statistics such as memory input/output bandwidth to floating point buffers, texture cache bandwidth, data download and readback rates, instruction throughput, and instruction precision. More so than being a measuring stick for GPU performance, GPUBench is intended to be a tool for developers of GPU-accelerated applications, since a more complete understanding of machine capabilities will dictate better software design decisions. Information included in GPUBench reports is useful in accurately estimating the performance of shader programs as well as determining if a particular GPU is a viable target platform for a particular computation.

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References in zbMATH (referenced in 3 articles )

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  1. Elsen, Erich; LeGresley, Patrick; Darve, Eric: Large calculation of the flow over a hypersonic vehicle using a GPU (2008)
  2. Kotani, Y.; Ino, F.; Hagihara, K.: A resource selection system for cycle stealing in GPU grids (2008) ioport
  3. Dokken, Tor; Hagen, Trond Runar; Hjelmervik, Jon Mikkelsen: An introduction to general-purpose computing on programmable graphics hardware (2007)