GPU610/DPS915

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

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. Course Outline

External Links

• Course Web Site – Lecture Notes
• Course Web Site – Timeline

Workshops

• The workshops provide timely opportunities to implement some of the material covered during the lectures. Each workshop is graded and all submissions are through Moodle.
• Detail Specifications
  1. Initial Profile
  2. BLAS
  3. Device Query and Selection
  4. cuBLAS
  5. Thrust
  6. A Simple Kernel
  7. Reduction
  8. Thread Divergence
  9. Coalesced Memory Access
  10. CUDA to OpenCL
• Grading - The due date for each workshop is noted in MySeneca. The penalty for late submission is 20% of the workshop mark; 50% for very late submission.

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 2013 | Select Software Downloads | Go To Visual Studio 2013 Ultimate 2.82GB | Download iso | Burn, if error burn again | Finally, install

• Wikis
  • How To edit Wiki pages
  • How To edit Wiki Cheatsheet