Math 627 - Introduction to Parallel Computing

Spring 2004 - Matthias K. Gobbert

Section 0101 - Schedule Number 3661

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Final Projects

The class presentations of the final projects will be held on Monday, May 17, 2004 starting at 03:30 p.m. in MP 401. Please follow the link to the Program for the titles and abstracts. Just like for seminar talks, everybody is welcome to attend!

Basic Information


In recent years, parallel computing has become an almost ubiquitous way to perform computer simulations involving large amounts of data or intensive calculations. The basic purpose of using several processors is to speed up computations of large problems by distributing the work. But large problems typically involve vast quantities of data as well; by distributing the data across several processors, problems of previously unsolvable size can now be tackled in reasonable time.

Only government agencies, national laboratories, and large corporations could afford the first parallel machines. Due to the dramatic drop in prices for personal computers (PCs) and their components, parallel computing has become much more accessible in the form of Beowulf clusters formed by connecting commodity PCs by dedicated networks.

The most common library of parallel computing instructions today for any type of parallel machine architecture is the Message Passing Interface (MPI). This course will provide interested students a basic introduction to parallel computing using MPI on a distributed-memory cluster of Linux PCs. Time permitting, we will present several application examples that show how parallel computing can be used to solve large application problems in practice.

Other Information

UMBC Academic Integrity Policy

By enrolling in this course, each student assumes the responsibilities of an active participant in UMBC's scholarly community in which everyone's academic work and behavior are held to the highest standards of honesty. Cheating, fabrication, plagiarism, and helping others to commit these acts are all forms of academic dishonesty, and they are wrong. Academic misconduct could result in disciplinary action that may include, but is not limited to, suspension or dismissal. To read the full Student Academic Conduct Policy, consult the UMBC Student Handbook, the Faculty Handbook, the UMBC Policies section of the UMBC Directory for undergraduate students, or the Graduate School website for graduate students.

Copyright © 2001-2004 by Matthias K. Gobbert. All Rights Reserved.
This page version 3.0, May 2004.