CMSC 34000

Scientific Parallel Computing

Prerequisites: Experience in scientific computing helpful.

Catalog Description: The use of multiple processors cooperating to solve a common task. We study issues related to this general problem in the areas of computer architecture, performance analysis, prediction and measurement, programming languages, and algorithms for large-scale computation. The course will involve programming at least one parallel computer. Possibilities include one of the clusters of workstations connected by high-speed networks currently at the University of Chicago. We focus on the state of the art in parallel algorithms for scientific computing. Specific topics are chosen based on student interest. General principles of parallel computing are emphaphasized..

Instructors: L. Ridgway Scott
Quarter offered: Autumn
Last Verified by Sharon Salveter on 8 April, 2003.