BrookGPU

BrookGPU
Developer(s)	Stanford University
Stable release	v0.5 Beta 1 / 2007
Repository	svn.code.sf.net/p/brook/code/ ;
Operating system	Linux, Windows
Type	Compiler/runtime
License	BSD license (parts are under the GPL)
Website	http://graphics.stanford.edu/projects/brookgpu/

In computing, the Brook programming language and its implementation BrookGPU were early and influential attempts to enable general-purpose computing on graphics processing units (GPGPU).^[1]^[2] Brook, developed at Stanford University graphics group, was a compiler and runtime implementation of a stream programming language targeting modern, highly parallel GPUs such as those found on ATI or Nvidia graphics cards.

BrookGPU compiled programs written using the Brook stream programming language, which is a variant of ANSI C. It could target OpenGL v1.3+, DirectX v9+ or AMD's Close to Metal for the computational backend and ran on both Microsoft Windows and Linux. For debugging, BrookGPU could also simulate a virtual graphics card on the CPU.

^ Tarditi, David; Puri, Sidd; Oglesby, Jose (2006). "Accelerator: using data parallelism to program GPUs for general-purpose uses" (PDF). ACM SIGARCH Computer Architecture News. 34 (5). doi:10.1145/1168919.1168898.
^ Che, Shuai; Boyer, Michael; Meng, Jiayuan; Tarjan, D.; Sheaffer, Jeremy W.; Skadron, Kevin (2008). "A performance study of general-purpose applications on graphics processors using CUDA". J. Parallel and Distributed Computing. 68 (10): 1370–1380. doi:10.1016/j.jpdc.2008.05.014.

[1] Tarditi, David; Puri, Sidd; Oglesby, Jose (2006). "Accelerator: using data parallelism to program GPUs for general-purpose uses" (PDF). ACM SIGARCH Computer Architecture News. 34 (5). doi:10.1145/1168919.1168898.

[2] Che, Shuai; Boyer, Michael; Meng, Jiayuan; Tarjan, D.; Sheaffer, Jeremy W.; Skadron, Kevin (2008). "A performance study of general-purpose applications on graphics processors using CUDA". J. Parallel and Distributed Computing. 68 (10): 1370–1380. doi:10.1016/j.jpdc.2008.05.014.

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