In this course, we will learn how to use parallel programming tools to solve problems in science and engineering.

Basic programming skills in a compiled language such as C, C++ or Java is desirable, as is some knowledge of interpreted languages such as Python, Matlab or Julia.

Topics

• Parallel tools available in Python
• Basics of MPI, includin MPI I/O, derived types.
• CUDA programming
• OpenMP.
• Version control using Git
• Build systems using Make and CMake
• Scripting using Jupyter Notebooks.
• Introduction to C programming for scientific computing.