Multicore and GPU Programming for Video Games

Multicore and GPU Programming for Video Games

Related classes

Link to courses on both multicore and GPU processing:

Links to courses on multicore processing:

to courses on GPU architecture and also possibly GPGPU programming:

  • Caltech CS101.3:
    Hacking the GPU
    , “open to grads and undergrads
    with a background in
    either graphics,
    numerical analysis, computer languages or computer architecture.”

  • Univ. of Aarhus CS
    GPGPU (Q2 2004)

  • UNC at Chapel Hill COMP 290-058: General Purpose Computation
    using Graphics Processors

  • Stony Brook University
    CS690 –
    General Purpose Computing on
    Graphics Hardware
    . “Graduate standing or permission of instructor.”
    “The course is intended for anyone
    who has encountered a need for
    accelerated computing. The material
    and its presentation is suited for a
    general audience from all academic
    displines. The only prerequisite
    is knowledge of a programming language,
    preferably C/C++. No prior knowledge
    of computer graphics is required,
    but some mathematical background,
    such as linear algebra, is desirable.”

  • Univ. of Illinois at Chicago
    CS 594 – Special
    Topics – GPU Programming
    . Assumes
    computer graphics/OpenGL background.

  • UC Davis, EEC227
    – Graphics Architecture.

    “Ideally, students should
    have a background in both
    computer architecture (at the level of EEC 170 or ECS 154B) and
    computer graphics (at the level of ECS 175). Students should also
    have a reasonable familiarity with the C programming language.

  • Stanford CS448A – Real-Time Graphics Architectures.
    “The class is open to students with a background in computer graphics or
    computer systems and architecture. It may be taken for 1 or 3 credits.
    For 1 credit, each student will be expected to attend all the lectures
    and participate in discussions. For 3 credits, two projects will be assigned.
    The first will be to analyze tradeoffs in graphics architectures, and the second will be to design part of a graphics system.”

  • U. Penn CIS
    700/010 (Special Topics) – GPU Programming and