Revision as of 19:58, 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.

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 == Assignments  ==
-# [https://scs.senecac.on.ca/~gpu610/pages/assignments/a1.html Selection and Assessment]
+# [https://scs.senecac.on.ca/~gpu610/pages/assignments/a1.html Select and Assess]
-# [https://scs.senecac.on.ca/~gpu610/pages/assignments/a2.html GPU Programming]
+# [https://scs.senecac.on.ca/~gpu610/pages/assignments/a2.html Parallelize]
-# [https://scs.senecac.on.ca/~gpu610/pages/assignments/a3.html Optimization]
+# [https://scs.senecac.on.ca/~gpu610/pages/assignments/a3.html Optimize]
 == Evaluation ==