Introducing computational thinking, parallel programming and performance engineering in interdisciplinary studies

Nowadays, many fields of science and engineering are evolving through 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 scie...

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Published in:	Journal of parallel and distributed computing Vol. 105; pp. 116 - 126
Main Authors:	Cesar, Eduardo, Cortés, Ana, Espinosa, Antonio, Margalef, Tomàs, Moure, Juan Carlos, Sikora, Anna, Suppi, Remo
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.07.2017
Subjects:	Agent-based models CUDA GPUs Message passing Model simulation MPI OpenMP Parallel programming Shared memory CUDA Agent-based models Parallel programming Message passing OpenMP GPUs MPI Shared memory Model simulation
ISSN:	0743-7315, 1096-0848
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Abstract	Nowadays, many fields of science and engineering are evolving through 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 knowledge of High Performance Computing, including parallel programming, to develop fruitful and efficient work in their particular field. Therefore, at Universitat Autònoma of Barcelona (Spain), an interdisciplinary Master on “Modeling for Science and Engineering” was started 5 years ago to provide a thorough knowledge of the application of modeling and simulation to graduate students in different fields (Mathematics, Physics, Chemistry, Engineering, Geology, etc.). In this Master’s degree, “Parallel Programming” appears as a compulsory subject because it is a key topic for them. The concepts learned in this subject must be applied to real applications. Therefore, a complementary subject on “Applied Modeling and Simulation” has also been included. It is very important to show the students how to analyze their particular problems, think about them from a computational perspective and consider the related performance issues. So, in this paper, the methodology and the experience in introducing computational thinking, parallel programming and performance engineering in this interdisciplinary Master’s degree are shown. This overall approach has been refined through the Master’s life, leading to excellent academic results and improving the industry and students appraisal of this programme. •A Master on Modelling for science and engineering was started 5 years ago.•It is an interdisciplinary Master’s degree with teacher from Mathematics, Physics and Computer Science.•Parallel programming and Applied modelling and simulation are subjects included in the Master’s program.•The teaching methodology applied in both topics is completely presented.
AbstractList	Nowadays, many fields of science and engineering are evolving through 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 knowledge of High Performance Computing, including parallel programming, to develop fruitful and efficient work in their particular field. Therefore, at Universitat Autònoma of Barcelona (Spain), an interdisciplinary Master on “Modeling for Science and Engineering” was started 5 years ago to provide a thorough knowledge of the application of modeling and simulation to graduate students in different fields (Mathematics, Physics, Chemistry, Engineering, Geology, etc.). In this Master’s degree, “Parallel Programming” appears as a compulsory subject because it is a key topic for them. The concepts learned in this subject must be applied to real applications. Therefore, a complementary subject on “Applied Modeling and Simulation” has also been included. It is very important to show the students how to analyze their particular problems, think about them from a computational perspective and consider the related performance issues. So, in this paper, the methodology and the experience in introducing computational thinking, parallel programming and performance engineering in this interdisciplinary Master’s degree are shown. This overall approach has been refined through the Master’s life, leading to excellent academic results and improving the industry and students appraisal of this programme. •A Master on Modelling for science and engineering was started 5 years ago.•It is an interdisciplinary Master’s degree with teacher from Mathematics, Physics and Computer Science.•Parallel programming and Applied modelling and simulation are subjects included in the Master’s program.•The teaching methodology applied in both topics is completely presented.
Author	Espinosa, Antonio Cortés, Ana Sikora, Anna Suppi, Remo Margalef, Tomàs Cesar, Eduardo Moure, Juan Carlos
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