Related classes

• 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.