Difference between revisions of "GPU610/DPS915"

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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=438 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=536 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]

Revision as of 10:29, 4 September 2014


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. Select and Assess
  2. Parallelize
  3. Optimize

Evaluation

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

Resources

  • Software Support
    • CUDA Toolkit
    • Get Visual Studio 2013 | Select Software Downloads | Go To Visual Studio 2013 Ultimate 2.82GB | Download iso | Burn, if error burn again | Finally, install