Teaching parallel programming in interdisciplinary studies

Eduardo Cesar, Ana Cortés, Antonio Espinosa, Tomàs Margalef*, Juan Carlos Moure, Anna Sikora, Remo Suppi

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Nowadays many fields of science and engineering are evolving by the joint contribution of complementary fields. Computer science, and especially high performance computing, has become a key factor in the development of many research fields, establishing a new paradigm called computational science. Researchers and professionals from many different fields require a knowledge of high performance computing, including parallel programming, to develop a fruitful work in their particular field. So, at Universitat Autònoma of Barcelona, an interdisciplinary master on Modeling for science and engineering was started 5 years ago to provide a deep knowledge on the application of modeling and simulation to graduate students on different fields (Mathematics, Physics, Chemistry, Engineering, Geology, etc.). In this master, Parallel Programming appears as a compulsory subject, because it is a key topic for them. The concepts learnt in parallel programming must be applied to real applications. Therefore, a subject on Applied Modelling and Simulation has also been included. In this paper, the experience on teaching parallel programming in such interdisciplinary master is shown.

Original languageAmerican English
Pages (from-to)66-77
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOIs
Publication statusPublished - 2015

Keywords

  • CUDA
  • GPUs
  • Message passing
  • MPI
  • OpenMP
  • Parallel programming
  • Shared memory

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