November 29, 2006 lecture by Ian Buck for the Stanford University Computer Systems Colloquium (EE 380).
A brief history of computing with GPUs (programmable graphics hardware), how CUDA (a new approach to computing) can solve compute intensive problems, and where GPU computing will be going in the future is discussed.
In this course, Stanford University gives 27 video lectures on the Computer Systems Laboratory Colloquium. This course features weekly speakers on current research and developments in computer systems. Topics touch upon all aspects of computer science and engineering including logic design, computer organization and architecture, software engineering, computer applications, public policy, and the social, business, and financial implications of technology. Frequently the Colloquium provides the first public forum for discussion of new products, discoveries, or ideas. This playlist consists of seminar speakers recorded during the 2006-2007 academic year.
The original name of this course is: Computer Systems Laboratory Colloquium (2006-2007).