Difference between revisions of "GPU610/DPS915"

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Please help make this page resourceful for all GPU610/DPS915 students to use!
 
Please help make this page resourceful for all GPU610/DPS915 students to use!
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* Software Support
 
* Software Support
 
** [http://developer.nvidia.com/cuda-downloads CUDA Toolkit]
 
** [http://developer.nvidia.com/cuda-downloads CUDA Toolkit]
** Get [https://inside.senecacollege.ca/its/software/index.html Visual Studio 2013] | Select Software Downloads | Go To Visual Studio 2013 Ultimate 2.82GB | Download iso | Burn, if error burn again | Finally, install
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** Get [https://inside.senecacollege.ca/its/software/index.html Visual Studio 2017] | Select Software Downloads | Go To Visual Studio 2013 Ultimate 2.82GB | Download iso | Burn, if error burn again | Finally, install
  
 
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Latest revision as of 17:17, 6 January 2019


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 20%
  • Workshops 30%
  • Option 1: Tests 50%
  • Option 2: Tests 35% + Exam 15%

Resources

  • Software Support
    • CUDA Toolkit
    • Get Visual Studio 2017 | Select Software Downloads | Go To Visual Studio 2013 Ultimate 2.82GB | Download iso | Burn, if error burn again | Finally, install