From GPGPU.org Wiki

Contents 1 Welcome to the GPGPU.org wiki 2 GPGPU For Beginners 3 GPGPU Courses 4 GPGPU Articles and Books 5 GPGPU.org index 6 High Level GPGPU Programming Environments

Welcome to the GPGPU.org wiki

GPGPU 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 GPGPU.org is to catalog the current and historical use of GPUs for general-purpose computation.

The GPGPU.org wiki is a dynamic archive of helpful information about GPGPU for developers. The wiki is maintained by its readers; that means you. Please do not abuse this power. Only enter useful, correct information in the wiki. You must create an account in order to add content to the GPGPU.org wiki.

GPGPU For Beginners

• FAQ : Frequently Asked Questions
• Glossary : Glossary
• Code Examples : Code Example / Technique Repository

GPGPU Courses

• SIGGRAPH 2004 Course
• VIS 2004 Course
• SIGGRAPH 2005 Course

GPGPU Articles and Books

• GPU Gems 2

GPGPU.org index

• http://www.gpgpu.org/ Main page : The latest GPGPU news.
• http://www.gpgpu.org/wiki/ This page : In case you want to know how to link here.
• http://www.gpgpu.org/forums/ GPGPU.org Forums : Lots of help from real people.
• http://www.gpgpu.org/developer/ GPGPU.org Developer Page : Sample code, utilities, etc.

• The GPGPU People page lists people working on various GPGPU pursuits.

High Level GPGPU Programming Environments

• The Stanford Brook Project (external link)
• The Sh project (now RapidMind).
• NVIDIA's CUDA
• AMD's CTM

(please see the FAQ for more details)