Difference between revisions of "GPU610/DPS915"

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* The course project is a three-stage, team assignment.  Each team consists of 3 members.  In the first stage your team evaluates 6 applications and selects 3 for continued work.  The evaluation includes profiling to identify the hot spots in each application. Each team member is responsible for 2 of the candidate applications. The second stage refactors the applications to use the GPU, including shared memory.  The third and final stage optimizes the performance.  Each team presents the results of its work during the final week of the semester.
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* Specifications
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The course project is a three-stage, team assignment to build a game using the framework as the starting point.  Each team consists of up to 5 members.  Membership is subject to instructor approval and is open to modification until the end of the week of the drop date for the course.  The first stage of the assignment proposes the game design and identifies which member will work on which aspect of the game. Each member is responsible for their own aspect.  Each team meets with the instructor to review the proposal and obtain approval. The second stage releases a draft of the game.  Each team meets again with the instructor to review progress and redefine goals.  The third and final stage presents the completed game to the class. Details are on the Project Requirements page.
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*# [[https://scs.senecac.on.ca/~gpu610/pages/assignments/a1.html Selection and Assessment]]
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*# [[https://scs.senecac.on.ca/~gpu610/pages/assignments/a2.html GPU Programming]]
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*# [[https://scs.senecac.on.ca/~gpu610/pages/assignments/a3.html Optimization]]
 
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Revision as of 10:21, 31 August 2012


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 Descriptions

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

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.

Common Material

External Links

The Project

  • The course project is a three-stage, team assignment. Each team consists of 3 members. In the first stage your team evaluates 6 applications and selects 3 for continued work. The evaluation includes profiling to identify the hot spots in each application. Each team member is responsible for 2 of the candidate applications. The second stage refactors the applications to use the GPU, including shared memory. The third and final stage optimizes the performance. Each team presents the results of its work during the final week of the semester.
  • Specifications
    1. [Selection and Assessment]
    2. [GPU Programming]
    3. [Optimization]

NV CUDA Teaching Center Small.jpg

Evaluation

  • Assignment 30%
    • Individual Work - 50%
    • Group Work - 50%
    • Total (Individual + Group) - 100%
  • Workshops 20%
  • Test 20%
  • Exam 30%

Final Submission Requirements

  • Under construction

Resources

Archives

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