Learning How to program on HPC cluster (part IV: advanced python/debugging/parallel)

Contribution List

5. Introduction to parallel computing

Damien François (UCLouvain/CISM)

14/11/2024, 09:30

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Before diving into the concrete programming examples with MPI and OpenMP, this session introduces some theoretical concepts and presents the several paradigms and tools offered by Linux for parallel computing when a program itself is not able to run in parallel.

6. Debugging and profiling

Bernard Van Renterghem (UCL CISM)

14/11/2024, 11:15

3. Efficient use of Python on the clusters

Nicolas Potvin (ULB), Ariel Lozano (ULB)

14/11/2024, 13:15

The use of Python for scientific computing is rising thanks to modules such as numpy, scipy and mathplotlib. This session explores the efficient uses of Python in that context for situations where numpy and co. are of less use. It assumes a working knowledge of...