Difference between revisions of "GPU610/DPS915"
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== Final Submission Requirements == | == Final Submission Requirements == | ||
− | When ready to submit your project: | + | * Under construction |
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# Finalize your modifications in trunk. | # Finalize your modifications in trunk. | ||
# Create a directory in trunk called: '''"SubmissionLogs"''' | # Create a directory in trunk called: '''"SubmissionLogs"''' | ||
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# If final adjustments are needed after these steps, repeat everything from step one but branch the trunk into a new directory in tags as '''prj1.1, prj1.2''', etc. | # If final adjustments are needed after these steps, repeat everything from step one but branch the trunk into a new directory in tags as '''prj1.1, prj1.2''', etc. | ||
#:(for marking purposes, your instructor will consider your last revision as your submission) | #:(for marking purposes, your instructor will consider your last revision as your submission) | ||
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== Resources == | == Resources == |
Revision as of 18:51, 25 June 2012
GPU610/DPS915 | Student List | Group and Project Index | Student Resources | Glossary
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Contents
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
- Under construction
Evaluation
- Assignment 30%
- Individual Work - 50%
- Group Work - 50% inclusive
- Total (Individual + Group) - 100%
- Workshops 20%
- Test 20%
- Exam 30%
Final Submission Requirements
- Under construction
Resources
- How To edit Wiki pages
- How To edit Wiki Cheatsheet
- Subversion (SVN)
- Download Page of TortoiseSVN
- TortoiseSVN Documentation
- SVN book at red-bean.com or downloadthe PDF from here.
- AnkhSVN - Free Visual Studio SVN Integration Alternative To VisualSVN