GPUBench swMATH ID: 9106 Software Authors: I. Buck, K. Fatahalian, P. Hanrahan Description: 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. Homepage: http://graphics.stanford.edu/projects/gpubench/ Related Software: GPGPU; LAME; BOINC; OpenGL; NSSUS; CUDA; Cg; GLift; SINTEF Cited in: 2 Publications all top 5 Cited by 6 Authors 1 Darve, Eric 1 Dokken, Tor 1 Elsen, Erich 1 Hagen, Trond Runar 1 Hjelmervik, Jon Mikkelsen 1 LeGresley, Patrick Cited in 1 Serial 1 Journal of Computational Physics Cited in 2 Fields 1 Computer science (68-XX) 1 Fluid mechanics (76-XX) Citations by Year