GPU610/DPS915

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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

The 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 Assessment
  2. Linear Algebra using BLAS
  3. Device Query and Selection
  4. A Simple Device Operation
  5. Matrix Product using cuBlas
  6. Matrix Product using Thrust
  7. Dot Product
  8. Matrix Product
  9. Matrix Product using Streams
  10. CUDA to OpenCL
• Grading - The window for submission of each workshop is one week plus a day from the date of the workshop period. The penalty for late submission is 50% of the workshop mark.

The Assignments

1. Selection and Assessment
2. GPU Programming
3. Optimization

Evaluation

• Assignments and Presentation 30%
• Workshops 20%
• Test 20%
• Exam 30%

Resources

• Software Support
  • Microsoft Visual Studio 2010 Pro
  • CUDA Toolkit
  • NSight Visual Studio Edition
  • NSight Eclipse Edition
• Wikis
  • How To edit Wiki pages
  • How To edit Wiki Cheatsheet
• Subversion
  • Subversion (SVN)
  • Download Page of TortoiseSVN
  • TortoiseSVN Documentation
  • SVN book at red-bean.com or download the PDF from here.
  • AnkhSVN - Free Visual Studio SVN Integration Alternative To VisualSVN