This course is on programming for parallel computers. At a low levels, memory, vectors/pipelining, branch prediction, and independent functional units are studied. The next level is on shared memory machines using OpenMP. At the highest level on multiple independent processors, networks and MPI programming are studied. Numerical examples: FFT, linear algebra, and Monte-Carlo are studied.

This course covers common numerical algorithms and statistical methods used by chemical engineers to solve typical problems arising in industrial and research practice.