GPU610 - Parallel Programming Fundamentals

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Last revision date Sep 30, 2019 12:27:23 AM
Last review date Dec 2, 2019 12:15:16 AM

Subject Title
Parallel Programming Fundamentals

Subject Description
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 and write 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.

Credit Status
1 credit (3 units)
Professional Option for CPA - Computer Programming and Analysis (Ontario College Advanced Diploma)
Professional Option for CPD - Computer Programmer (Ontario College Diploma)

Learning Outcomes
Upon successful completion of this subject the student will be able to:

  •     code heterogeneous solutions using the CUDA and OpenCL programming models
  •      compile, run, and profile heterogeneous applications on Windows and Linux platforms
  •     design and code heterogeneous solutions using GPU optimized libraries
  •     discuss performance, optimization, and best practices in GPU programming
  •     install and run applications that benefit from GPU compute technology
  •     use directives to highlight parallelizable code to auto-compilers
  •     express problems in terms of vectors and matrices and transform vectors using matrices

Essential Employability Skills
Execute mathematical operations accurately.

Apply a systematic approach to solve problems.

Manage the use of time and other resources to complete projects.

Academic Integrity
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Accommodation for Students with Disabilities
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