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*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.
* [https://secureict.senecac.onsenecacollege.ca/ssos/findWithoutSemestercourse/gpu610/SICT Course Outline]
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*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.
* [https://secureict.senecac.onsenecacollege.ca/ssos/findWithoutSemestercourse/dps915/SICT Course Outline]
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*# [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://openMySeneca.senecac.on.ca/cms/course/view.php?id=536 Moodle]. The penalty for late submission is 5020% of the workshop mark; 50% for very late submission.
== Assignments ==
== Evaluation ==
* Assignments and Presentation 3020%* Workshops 2030%* Test 20Option 1: Tests 50%* Option 2: Tests 35% + Exam 3015%
= Resources =
