CMSC 34000 - Scientific Parallel Computing

Institution:
University of Chicago
Subject:
Description:
PQ: Consent of instructor required; experience in scientific computing helpful. We study the use of multiple processors cooperating to solve a common task, as well as related issues in computer architecture, performance analysis, prediction and measurement, programming languages, and algorithms for large-scale computation. Programming at least one parallel computer is required. Possibilities include one of the clusters of workstations connected by high-speed networks on campus. We focus on state-of-the-art parallel algorithms for scientific computing. Topics are based on interest. General principles of parallel computing are emphasized. L. R. Scott. Autumn.
Credits:
3.00
Credit Hours:
Prerequisites:
Corequisites:
Exclusions:
Level:
Instructional Type:
Lecture
Notes:
Additional Information:
Historical Version(s):
Institution Website:
Phone Number:
(773) 702-1234
Regional Accreditation:
North Central Association of Colleges and Schools
Calendar System:
Quarter

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