Revision as of 18:57, 4 September 2013

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Course Material

Modern GPU (Graphics Processing Unit) technology supports massively parallel computations, which complements the serial processing capabilities of CPU technology. This course teaches students how to read, write, and debug programs that use both CPU and GPU technology. Students learn to reorganize existing programs into serial code that runs on the CPU and parallel code that runs on the GPU. Students also study cases that have benefited from CPU+GPU programming.
Course Outline

Modern GPU (Graphics Processing Unit) technology supports massively parallel computations, which complements the serial processing capabilities of CPU technology. This course teaches students how to read, write, and debug programs that use both CPU and GPU technology. Students learn to reorganize existing programs into serial code that runs on the CPU and parallel code that runs on the GPU. Students also study cases that have benefited from CPU+GPU programming and develop a CPU+GPU application for a client.

The workshops provide timely opportunities to implement some of the material covered during the lectures. Each workshop is graded and all submissions are through Moodle.
Detail Specifications
Grading - The due date for each workshop is noted in Moodle. The penalty for late submission is 50% of the workshop mark.

@@ Line 42: / Line 42: @@
 == Workshops ==
-* The workshops provide timely opportunities to implement some of the material covered during the lectures. Each workshop is graded and all submissions are through [https://open.senecac.on.ca/cms/course/view.php?id=342 Moodle].
+* The workshops provide timely opportunities to implement some of the material covered during the lectures. Each workshop is graded and all submissions are through [https://open.senecac.on.ca/cms/course/view.php?id=438 Moodle].
 * Detail Specifications
 *# [https://scs.senecac.on.ca/~gpu610/pages/workshops/w1.html Initial Profile]
@@ Line 54: / Line 54: @@
 *# [https://scs.senecac.on.ca/~gpu610/pages/workshops/w9.html Coalesced Memory Access]
 *# [https://scs.senecac.on.ca/~gpu610/pages/workshops/w10.html CUDA to OpenCL]
-* Grading - The due date for each workshop is noted in [https://open.senecac.on.ca/cms/course/view.php?id=342 Moodle].  The penalty for late submission is 50% of the workshop mark.
+* Grading - The due date for each workshop is noted in [https://open.senecac.on.ca/cms/course/view.php?id=438 Moodle].  The penalty for late submission is 50% of the workshop mark.
 == Assignments  ==