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.
gpu610

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.

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

When ready to submit your project:

Finalize your modifications in trunk.
Create a directory in trunk called: "SubmissionLogs"
For each member of the team create a text file named as "YourSenecaEmailId.txt" in the "SubmissionLogs" directory. In this text file, in a point form, specify in detail, all the tasks you have done for the group project.
Branch (copy) the whole project including the SubmissionLogs directory and its text files into tags directory under "prj1.0".
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)