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

• Multiprocessing package in Python
• MPI programming in C, including Cartesian topologies, and MPI I/O
• CUDA programming
• Basic numerical methods include fractal design, iterative methods, reaction-diffusion systems
• Scripting using Jupyter Notebooks.
• Introduction to C programming for scientific computing.