A survey of general-purpose computation on graphics hardware

被引:965
作者
Owens, John D. [1 ]
Luebke, David
Govindaraju, Naga
Harris, Mark
Krueger, Jens
Lefohn, Aaron E.
Purcell, Timothy J.
机构
[1] Univ Calif Davis, Davis, CA 95616 USA
[2] Microsoft Corp, Many Core Technol Incubat Grp, Redmond, WA 98052 USA
[3] Tech Univ Munich, D-8000 Munich, Germany
关键词
GPGPU; general-purpose computing on graphics hardware; parallel computing; GPU; graphics hardware; SIMD; stream processing; stream computing; data-parallel computing; high-performance computing; HPC;
D O I
10.1111/j.1467-8659.2007.01012.x
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:80 / 113
页数:34
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