Lecture 1: Scientific Computing using Graphics Processors

Sunday, January 9, 2011 - 1:30pm - 2:30pm
Lind 305
Cris Cecka (Stanford University)
In this short course, we introduce the GPU as a coprocessor for scientific computing. The course will review modern hardware, CUDA programming, algorithm design, and optimization considerations for this unique compute environment. Introductory example codes and slides will be available to aid attendees in using GPUs to accelerate their applications.
MSC Code: