Revision as of 20:15, 25 June 2012

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Course Descriptions

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.

Assignment 30%
- Individual Work - 50%
- Group Work - 50%
- Total (Individual + Group) - 100%
Workshops 20%
Test 20%
Exam 30%

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 = Resources =
+* Software Support
-<!-- * Class notes can be found here: svn://zenit.senecac.on.ca/oop344 (userid: oop344, no password) -->
+** [https://acs.senecac.on.ca/pages/index.php Microsoft Visual Studio 2010 Pro]
+** [http://developer.nvidia.com/cuda-downloads CUDA Toolkit]
+** [http://developer.nvidia.com/nvidia-nsight-visual-studio-edition NSight Visual Studio Edition]
+** [http://developer.nvidia.com/nsight-eclipse-edition NSight Eclipse Edition]
 * Wikis
 ** [http://en.wikipedia.org/wiki/Wikipedia:How_to_edit_a_page How To edit Wiki pages]