Related classes

Link to courses on both multicore and GPU processing:

• UIUC ECE498AL –
  Programming Massively Parallel Processors (lots of emphasis on CUDA)

• Univ. of Central Florida
  CDA 6958
  – Multi-core/Many-core Architectures and Programming (Covers CUDA and
  Cell, but also has strong ATI focus)

Links to courses on multicore processing:

• MIT 6.189 – Multicore
  Programming Primer: Learn and Compete in Programming
  the Playstation 3 Cell Processor, a
  “Independent Activities Period”
  course that took place during January 2007. Appeared to cover Cell
  programming, but not GPU programming. Open to all students!

• Mercer
  University SSE
  689 – Multicore Software. Students required to provide their own
  computer with a multicore processor, typically Intel (although AMD and IBM
  allowed).

• CS 8803/4803: Multicore Computing

Links
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
  Architecture.