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Derived from
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20410148 IN480 - PARALLEL AND DISTRIBUTED COMPUTING in Computational Sciences LM-40 PAOLUZZI ALBERTO, D'AUTILIA ROBERTO
(syllabus)
Short introduction to Julia for scientific programming. Introduction to parallel aechitectures. Designi principles of parallel algorithms. Prallel and distributed programming with Julia. Comunication and sincronization primitives: MPI paradigm. Directive-based languages: OpenMP. Performance metrics of parallel programs. Matrix operations and dense linear systems: mentions to BLAS, LAPACK, scaLAPACK. Sparse linear systems. Mentions to CombBLAS and GraphBLAS.
(reference books)
1. [Lecture slides and diary](https://github.com/cvdlab-courses/pdc/blob/master/schedule.md)
2. [Learning Julia](https://www.manning.com/books/julia-in-action)
3. Blaise N. Barney, [HPC Training Materials](https://computing.llnl.gov/tutorials/parallel_comp/), per gentile concessione del Lawrence Livermore National Laboratory's Computational Training Center
4. J. Dongarra, J. Kurzak, J. Demmel, M. Heroux, [Linear Algebra Libraries for High- Performance Computing: Scientific Computing with Multicore and Accelerators](http://www.netlib.org/utk/people/JackDongarra/SLIDES/sc2011-tutorial.pdf), SuperComputing 2011 (SC11)
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Università Roma Tre