GPGPU |
General-Purpose Computation Using Graphics Hardware
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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.
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An Implementation of a FIR Filter on a GPU Alexey Smirnov and Tzi-cker Chiueh from Stony Brook University have
published a technical report describing an implementation of a FIR filter on
a GPU. The results of the performance evaluation using a Geforce 6600 video
card and a Pentium 4-HT 3.2 GHz-based PC indicate that the GPU
implementation is better than the SSE-optimized CPU implementation for
certain input parameters. (FIR on GPU project. Report:
An Implementation of a
FIR Filter on a GPU (warning: postscript). Technical Report, Experimental Computer Systems Lab, Stony Brook University, 2005.)
Posted: 19 Sep 2005 [GPGPU /Image And Volume Processing] # gDEBugger V2.0 Adds Performance Graph and Dashboard View gDEBugger, an OpenGL debugger and profiler, traces application activity on top of the OpenGL API, letting programmers see what is happening within the graphics system implementation to find bugs and optimize application performance.
This major version includes two new profiling views: Performance Graph View
and Performance Dashboard View. These two views contain performance counter
graphs of gDEBugger, Windows and vendor-specific graphics boards (NVIDIA and
3Dlabs), including: CPU/GPU idle, graphics memory consumption, vertex and fragment processor utilization, number of
API function calls per frame, amount of loaded textures and texels, frames per second, and many others. Using the
gDEBugger Performance Analysis toolbar together with the new Performance
views enables you to easily pinpoint graphics pipeline performance
bottlenecks. (http://www.gremedy.com)
Posted: 19 Sep 2005 [GPGPU /Tools] # |
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