The title “Advanced Topics in HPC” must be understood in the context of the other 2 previous lessons. The topics discussed here are by no means advanced, but they are more advanced and suited for an smaller audience compared with those covered in the Introduction to HPC
Prerequisites
The Prerequisites for this lesson is a fairly good understanding in what was covered in the “Introduction to HPC” lesson. Some programming experience is very welcome as most topics here are programming related.
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introduction | Key question (FIXME) |
| 01:00 | 2. SCIENTIFIC PROGRAMMING | Key question (FIXME) |
| 02:00 | 3. Scientific Programming: C | Key question (FIXME) |
| 03:00 | 4. Scientific Programming: C++ | Key question (FIXME) |
| 04:00 | 5. Scientific Programming: Fortran | Key question (FIXME) |
| 05:00 | 6. PARALLEL COMPUTING | Key question (FIXME) |
| 06:00 | 7. Parallel Computing: OpenMP | Key question (FIXME) |
| 07:00 | 8. Parallel Computing: MPI | Key question (FIXME) |
| 08:00 | 9. Parallel Computing: OpenACC | Key question (FIXME) |
| 09:00 | 10. Parallel Computing: CUDA | Key question (FIXME) |
| 10:00 | 11. ARTIFICIAL INTELLIGENCE | Key question (FIXME) |
| 11:00 | 12. Artificial Intelligence: Machine Learning | Key question (FIXME) |
| 12:00 | 13. Artificial Intelligence: Machine Learning | Key question (FIXME) |
| 13:00 | 14. VISUALIZATION | Key question (FIXME) |
| 14:00 | 15. Visualization: Python (Matplotlib and Seaborn) | Key question (FIXME) |
| 15:00 | 16. Visualization: Julia (Interactive Plotting) | Key question (FIXME) |
| 16:00 | 17. Visualization: R (ggplot2) | Key question (FIXME) |
| 17:00 | 18. Visualization: Data Driven Visualization with 3Djs | Key question (FIXME) |
| 18:00 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.