GitHub - csc-training/hpc-python: Python in High Performance Computing

Python in High Performance Computing

Exercise material and model answers for the CSC course "Python in High Performance Computing". The course is part of PRACE Training activity at CSC.

This master branch contains always the material for latest course, past courses are stored in tags.

Online version of the course is run regularly in FutureLearn.

Articles and videos of the course are also available in a simple form in this site.

Exercises

General instructions

Basic array manipulation

• Reference vs. copy
• Array creation
• Array slicing
• Split and combine arrays
• Subdiagonal matrix

NumPy tools

• Input and output
• Polynomials
• Random numbers
• Linear algebra

Advanced NumPy

• Advanced indexing
• Mutating DNA sequence
• Translation with broadcasting
• Finite-difference
• Numerical integration
• Temporary arrays
• Numexpr

Performance analysis

• Using cProfile

Optimising with Cython

• Creating simple extension
• Using static typing
• Using C-functions
• Optimising heat equation

Interfacing with libraries

• C libraries

Multiprocessing

• Simple calculation
• Work distribution

Parallel programming with mpi4py

• Hello World
• Simple message exchange
• Message chain
• Non-blocking communication
• Collective operations

Bonus exercises

• Game of life
• Rotation with broadcasting
• Two dimensional heat equation
• Parallel heat equation