Parallel Scientific Computing (ME 471/571)

Boise State University, Dept. of Mathematics

Textbook : Parallel Programming with MPI (P. Pacheco)

Semesters Taught : Sp18, Sp20, Sp22

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.


  • 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.