Scalable Parallel Programming with CUDA on Manycore GPUs 
Scalable Parallel Programming with CUDA on Manycore GPUs
by Stanford
Video Lecture 12 of 22
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Date Added: August 24, 2009

Lecture Description

February 27, 2008

Lecture by John Nickolls for the Stanford University Computer Systems Colloquium (EE 380).

John Nickolls from NVIDIA talks about scalable parallel programming with a new language developed by NVIDIA, CUDA. NVIDIA's programming of their graphics processing unit in parallel allows for the dissection of large data sets into smaller sets, each to be handled by separate processors. This significantly increases the performance and handling of processing intensive application.

Course Index

Course Description

In this course, Stanford University gives 22 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 2007-2008 academic year.

The original name of this course is: Computer Systems Laboratory Colloquium (2007-2008).


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