Subject: Computer Science
Credit units: 3
Offered: Either Term 1 or Term 2
Weekly hours: 3 Lecture hours
College: Graduate and Postdoc Studies
Department: Computer Science

Description

Despite the advances in computing technology, we continue to need greater computing power to address important scientific questions. Because individual processors have reached their performance limits, the need for greater computing power can only be met through parallel computers. This course is intended for students interested in taking advantage of parallel and distributed computing by writing parallel code for processor-intensive applications to be run on clusters, the cloud, or shared infrastructure such as that provided by Compute Canada. The objectives of this course are to give the students an understanding of how they can use parallel computing in their research and enable them to write parallel code for their applications. Extensive use of practical examples from scientific computing will be made. The programming languages used will be Matlab and Fortran or C. Both the shared and distributed paradigms of parallel computing will be covered via the OpenMP and MPI libraries.

Permission of the Instructor is required.
Note: Undergraduate courses in Basic Numerical Analysis and Computer Programming are recommended.

Upcoming class offerings

For full details about upcoming courses, refer to the class search tool or, if you are a current student, the registration channel in PAWS.

Syllabi

The syllabus is a public document that provides detail about a class, such as the schedule of activities, learning outcomes, and weighting of assignments and examinations. Please note that the examples provided below do not represent a complete set of current or previous syllabus material. Rather, they are presented solely for the purpose of indicating what may be required for a given class.

It is recommended that students also have online access to syllabi prior to the beginning of the class. After submission to the department head, or dean in non-departmentalized colleges, syllabi should be posted on Blackboard and/or publically accessible departmental or other websites. Instructors who post their syllabus on publically accessible websites may wish to redact certain information that is not related to the core instruction of the class (e.g. personal contact information, names and contact information for teaching assistants, material protected under copyright, etc.).

Once an instructor has made their syllabus publicly available on Blackboard, it will appear below. For more information about syllabi, visit the Academic Courses Policy.

For more information about syllabi, visit the Academic Courses Policy.

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