Schedule
Each talk is of 60 minutes duration.
| Lecture | Date | Time | Topics |
| 1 | November 13 | 18:00 | Introduction to GPU |
| 2 | November 14 | 18:00 | GPU Programming and Hello World |
| 3 | November 15 | 18:00 | Parallel Programming in CUDA C |
| 4 | November 16 | 18:00 | CUDA Program Flow and cudaMemcpy |
| 5 | November 17 | 18:00 | CUDA Programs |
| 6 | November 18 | 18:00 | Threads |
| 7 | November 19 | 18:00 | Using Threads and Blocks |
| 8 | November 20 | 18:00 | More CUDA Programs |
| 9 | November 21 | 18:00 | More CUDA Programs |
| 10 | November 22 | 18:00 | Data Parallel Computing |
| 11 | November 23 | 18:00 | Scalable Parallel Execution |
| 12 | November 24 | 18:00 | Memory and Data Locality |
| 13 | November 25 | 18:00 | Synchronization |
| 14 | November 26 | 18:00 | Performance Considerations |
| 15 | November 27 | 18:00 | Numerical Considerations |
Certificate
A course completion e-certificate will be issued to all the registered participants who attend at least 12 of the 15 classes live.
Instructor