Practical parallelization of scientific applications with OpenMP, OpenACC and MPI

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Marco Aldinucci, Valentina Cesare, Iacopo Colonnelli, Alberto Riccardo Martinelli, Gianluca Mittone, Barbara Cantalupo, Carlo Cavazzoni, Maurizio Drocco

Published: 01 Jan 2021, Last Modified: 09 May 2024J. Parallel Distributed Comput. 2021EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Learn how to parallelize legacy code in C and Fortran with reduce effort.•Design parallel algorithms with OpenMP, OpenACC, MPI, CUDA.•Design a course on parallel computing focused on parallel programming.•Understand how design choices affect performance of parallel algorithms on different platforms.