Università Roma Tre

Brief introduction to Julia language. Introduction to parallel architectures, Parallel and distributed programming with Julia. Primitives of communication and synchronization. Languages based on directives. Performance metrics. Matrix operations and dense linear systems. Sparse linear systems. Cache-oblivious algorithms. Collaborative development of projects. Test driven development and debugging.

Lecture slides

Blaise N. Barney, HPC Training Materials, by kind permission of Lawrence Livermore National Laboratory's Computational Training Center

J. Dongarra, J. Kurzak, J. Demmel, M. Heroux, Linear Algebra Libraries for High- Performance Computing: Scientific Computing with Multicore and Accelerators, SuperComputing 2011 (SC11)