This course gives an introduction into algorithms and numerical methods for parallel computing on shared and distributed memory architectures. The algorithms and methods are supported with problems that appear frequently in science and engineering.

This course focuses on programming methods and tools for modern parallel systems, such as large-scale supercomputers with multi and many-core processors. Emphasis will be placed on techniques and models to maximize the performance of such systems. This is a hands-on course that relies on practical applications in science and engineering to demonstrate the importance of HPC.

This course focuses on programming methods and tools for parallel computing on multi and many-core architectures. Emphasis will be placed on practical and computational aspects of Uncertainty Quantification and Propagation including the implementation of relevant algorithms on HPC architectures.