Università Roma Tre

This course introduces to techniques of parallel and distributed computing, and to hardware and software architectures for high-performance scientific and technical computing. Some space will be given to iterative distributed methods for simulation of numerical problems, and to methods for assessment of very large geometric models and meshes. The programming language used is Julia, novel dynamic language for scientific computing. Specific learning goals are:
Solve compute-intensive problems faster;
Solve larger problems in the same amount of time;
Solve same size problems with higher accuracy in the same amount of time.

Blaise N. Barney, HPC Training Materials, gentle concession of Lawrence Livermore National Laboratory's Computational Training Center