摘要

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 Universitaet Autonoma 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.
机译:如今,随着互补领域的共同贡献,科学和工程的许多领域都在发展。计算机科学,尤其是高性能计算,已成为许多研究领域发展的关键因素,建立了一种称为计算科学的新范式。来自许多不同领域的研究人员和专业人员都需要具备高性能计算知识,包括并行编程,才能在各自的领域中取得丰硕的成果。因此,五年前,在巴塞罗那大学自动化科学与工程建模交叉学科硕士课程开始,目的是为建模和仿真在不同领域(数学,物理,化学,工程,地质学)的研究生提供应用方面的深厚知识。等)。在本硕士课程中,并行编程是必修课,因为这是他们的重要课题。在并行编程中学习的概念必须应用于实际应用程序。因此,还包括了有关应用建模和仿真的主题。本文展示了在这种跨学科的大师中教授并行编程的经验。

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