Introduction to Parallel Computing
Session
Six Week - First
Class Number
1676
Career
Undergraduate
Units
3 units
Grading
Description
This course introduces students to scientific computing on modern parallel computers. Examples of numerical algorithms will be taken from several areas of mathematics, including numerical analysis and numerical linear algebra. Students will discuss the implications of the parallel architecture on the design of numerical algorithms. Parallel computing equipment will be made available to students enrolled in the course. The course includes a significant portion of instruction dedicated to learning the parallel programming language on that machine. The
class also includes a review of serial programming that is integrated into the presentation of sample codes.
Add Consent
Department Consent Required
Enrollment Requirements
You must have completed CMSC 201 or equivalent with a grade of C or better.
Notes
Please contact the instructor for permission at gobbert@umbc.edu. The syllabus for this course can be found at the webpage address below: https://userpages.umbc.edu/~gobbert/teaching/math447.20214/ This is a synchronous online course. Students are expected to attend class online during the days/times listed in the meeting pattern. This is a fully online course. It requires reliable internet access and computer literacy; and the ability to self-manage independent learning assignments according to deadlines. In place of classroom activities, online work may include independent mastery assignments, discussion boards, videos with quizzes, writing assignments, and other active learning experiences. Students are responsible for completing these online learning experiences by the specified deadlines and in accordance with instructor requirement
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Class Details
Instructor(s)
Matthias Gobbert
Meets
MoTuTh 6:00pm - 8:05pm
Dates
06/01/2021 - 07/09/2021
Room
WEB
Instruction Mode
Online
Campus
Main Campus
Location
Univ of MD, Baltimore County
Components
Lecture Required
Class Availability
Status
Open
Seats Taken
1
Seats Open
29
Class Capacity
30
Wait List Total
0
Wait List Capacity
5