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Wiley InterScience


Computer Graphics Forum

Computer Graphics Forum

Volume 26 Issue 1, Pages 80 - 113

Published Online: 23 Mar 2007

Journal compilation © 2009 The Eurographics Association and Blackwell Publishing



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A Survey of General-Purpose Computation on Graphics Hardware
John D. Owens 1 , David Luebke 2 , Naga Govindaraju 3 , Mark Harris 2 , Jens Krüger 4 , Aaron E. Lefohn 5 and Timothy J. Purcell 2
  1 University of California, Davis, USA jowens@ece.ucdavis.edu   2 NVIDIA {dluebke,mharris,tpurcell}@nvidia.com   3 Many-core Technology Incubation Group, Microsoft Corporation nagag@microsoft.com   4 Technische Universität München kruegeje@in.tum.de   5 Neoptica lefohn@neoptica.com
Copyright 2007 The Authors Journal compilation © 2007 The Eurographics Association and Blackwell Publishing Ltd.
KEYWORDS
GPGPU • general-purpose computing on graphics hardware • parallel computing • GPU • graphics hardware • SIMD • stream processing • stream computing • data-parallel computing • high-performance computing • HPC • I.3.1 Computer Graphics: Hardware architecture • I.3.6 Computer Graphics: Methodology and techniques • D.2.2 Software Engineering: Design tools and techniques

Abstract

Abstract
          1. Introduction: Why GPGPU 
          2. Overview of Programmable Graphics Hardware
          3. Programming Systems
          4. GPGPU TechniquesReferences

The rapid increase in the performance of graphics hardware, coupled with recent improvements in its programmability, have made graphics hardware a compelling platform for computationally demanding tasks in a wide variety of application domains. In this report, we describe, summarize, and analyze the latest research in mapping general-purpose computation to graphics hardware.

We begin with the technical motivations that underlie general-purpose computation on graphics processors (GPGPU) and describe the hardware and software developments that have led to the recent interest in this field. We then aim the main body of this report at two separate audiences. First, we describe the techniques used in mapping general-purpose computation to graphics hardware. We believe these techniques will be generally useful for researchers who plan to develop the next generation of GPGPU algorithms and techniques. Second, we survey and categorize the latest developments in general-purpose application development on graphics hardware.


Submitted May 2006
Revised August 2006
Accepted October 2006

DIGITAL OBJECT IDENTIFIER (DOI)
10.1111/j.1467-8659.2007.01012.x About DOI

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