Difference between revisions of "GPU610/DPS915"

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(Workshops)
(Workshops)
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== Workshops ==
 
== 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].
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* 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
 
* Detail Specifications
 
*# [https://scs.senecac.on.ca/~gpu610/pages/workshops/w1.html Initial Profile]
 
*# [https://scs.senecac.on.ca/~gpu610/pages/workshops/w1.html Initial Profile]
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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/w9.html Coalesced Memory Access]
 
*# [https://scs.senecac.on.ca/~gpu610/pages/workshops/w10.html CUDA to OpenCL]
 
*# [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.
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* 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  ==
 
== Assignments  ==

Revision as of 19:57, 4 September 2013


GPU610/DPS915 | Student List | Group and Project Index | Student Resources | Glossary

Please help make this page resourceful for all GPU610/DPS915 students to use!

Course Material

GPU610 - Parallel Programming Fundamentals

  • 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

NV CUDA Teaching Center Small.jpg

DPS915 - Introduction to Parallel Programming

  • 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.

NV CUDA Teaching Center Small.jpg

External Links

Workshops

Assignments

  1. Selection and Assessment
  2. GPU Programming
  3. Optimization

Evaluation

  • Assignments and Presentation 30%
  • Workshops 20%
  • Test 20%
  • Exam 30%

Resources