-
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
Detail Course Description Information on CollegeTransfer.Net
Copyright 2006 - 2025 AcademyOne, Inc.