“GPGPU: General-Purpose Computation on Graphics Hardware” by Buck, Govindaraju, Krüger, Lefohn, Purcell, et al. …

  • ©Ian Buck, Naga Govindaraju, Jens Krüger, Aaron E. Lefohn, Timothy J. Purcell, and Cliff Woolley

Conference:


Entry Number: 39

Title:

    GPGPU: General-Purpose Computation on Graphics Hardware

Course Organizer(s):



Presenter(s):



Abstract:


    Prerequisites
    This is an introduction to general-purpose GPU computing, but attendees are expected to have experience with a modern graphics API (OpenGL or Direct3D), including basic experience programming vertex and pixel shaders. No former GPGPU experience is assumed.

    Intended Audience
    Researchers interested in investigating general-purpose computation on graphics hardware and graphics and games developers interested in incorporating these techniques into their applications.

    Description
    Recent advances in graphics processor (GPU) technology have transformed GPUs into powerful engines capable of a variety of computations beyond computer graphics. This course presents a detailed introduction to general-purpose computation on graphics hardware (GPGPU), with emphasis on core computational building blocks ranging from linear algebra to database queries.

     


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