GPGPU |
General-Purpose Computation Using Graphics Hardware
|
IntroductionGPGPU stands for General-Purpose computation on GPUs. With the increasing programmability of commodity graphics processing units (GPUs), these chips are capable of performing more than the specific graphics computations for which they were designed. They are now capable coprocessors, and their high speed makes them useful for a variety of applications. The goal of this page is to catalog the current and historical use of GPUs for general-purpose computation.
|
gDEBugger V1.4 Supports OpenGL 2.0 and Adds Commands for Locating Shader Performance Bottlenecks gDEBugger, an OpenGL API debugger and profiler, traces application activity on top of the OpenGL API allowing programmers to see what is happening within the graphics system implementation. The new V1.4 supports the OpenGL 2.0 standard and many additional extensions. The latest features include stub fragment shader replacement and OpenGL light overrides. These features enable the pinpointing of application graphic performance bottlenecks caused by either fragment shaders or light-related calculations. In addition, gDEBugger contains a powerful break-on-detected error mechanism that stops execution of the debugged application when detected errors occur. The texture viewer now displays images and properties of multi-textures.
Posted: 26 Apr 2005 [GPGPU /Tools] # Version 0.7.7 of the Sh GPU Metaprogramming Language is now released. Sh allows GPUs to be programmed directly using C++. This version features a back end for the OpenGL Shading Language, Mac OS X support, and major speed improvements for stream programs (the GPGPU subset of Sh). (http://libsh.org)
Posted: 26 Apr 2005 [GPGPU /High-Level Languages] # The deadline for the Special Issue of the Elsevier Journal "Simulation Practice and Theory" about Programmable Graphics Hardware has been extended until Tuesday, May 17th, 2005. Authors of
papers which explore simulation studies and algorithms utilizing graphics hardware are invited to participate in the special issue. Please see the Call for Papers for more information. (http://www.cg.informatik.uni-siegen.de/News/3_SIMPRA_CFP)
Posted: 26 Apr 2005 [GPGPU /Miscellaneous/Journals] # |
Categories
|
