GPGPU
General-Purpose Computation Using Graphics Hardware

Introduction

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

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The Graphics Card as a Stream Computer

Massive data sets have radically changed our understanding of how to design efficient algorithms. A very different kind of massive computation has had the same effect at the level of the graphics card. The operations themselves are very simple but require the ability to perform many computations extremely fast and in parallel. What has resulted is a stream processor that is highly optimized for stream computations. Researchers are now discovering that performing a computation on a graphics card is far faster than performing it on a CPU. This note discusses some of these developments and their ramifications. (The Graphics Card as a Stream Processor. Presented at the SIGMOD-DIMACS workshop on the management and processing of data streams (MPDS), June 2003.)

Posted: 08 Apr 2004 [GPGPU /Stream Processing] #


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