Difference between revisions of "GPU621/DPS921"
| Line 1: | Line 1: | ||
| − | {{GPU621/DPS921 Index | | + | {{GPU621/DPS921 Index | 20217}} |
Please help make this page resourceful for all GPU621/DPS921 students to use! | Please help make this page resourceful for all GPU621/DPS921 students to use! | ||
Latest revision as of 20:43, 1 September 2021
GPU621/DPS921 | Participants | Groups and Projects | Resources | Glossary
Please help make this page resourceful for all GPU621/DPS921 students to use!
Contents
Course Material
GPU621/DPS921 - Parallel Algorithms and Programming Techniques
- Large data and compute-intensive problems benefit from parallel solutions. Modern hardware has parallel processing capabilities in varying degrees. Students study a set of industry-standard parallel patterns and learn how to implement parallel algorithms on multi-processor accelerators, shared memory systems and distributed systems using a range of programming models.
- GPU621 Course Outline
- DPS921 Course Outline
Instructor
External Links
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
- Grading - The due date for each workshop is noted in MySeneca. The penalty for late submission is 30% of the workshop mark.
Evaluation
- Project 20%
- Workshops 30%
- Tests 50%
