Parallel programming in computational science: an introductory practical training course for computer science undergraduates at Aachen University

Parallel programming of high-performance computers has emerged as a key technology for the numerical solution of large-scale problems arising in computational science and engineering (CSE). The authors believe that principles and techniques of parallel programming are among the essential ingredients...

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Bibliographic Details
Published in:Future generation computer systems Vol. 19; no. 8; pp. 1309 - 1319
Main Authors: Bücker, H.M., Lang, B., Bischof, C.H.
Format: Journal Article
Language:English
Published: Elsevier B.V 01.11.2003
Subjects:
Computational science and engineering
Education
Java
Parallel programming
Java
Parallel programming
Computational science and engineering
Education
ISSN:0167-739X, 1872-7115
Online Access:Get full text
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Summary:Parallel programming of high-performance computers has emerged as a key technology for the numerical solution of large-scale problems arising in computational science and engineering (CSE). The authors believe that principles and techniques of parallel programming are among the essential ingredients of any CSE as well as computer science curriculum. Today, opinions on the role and importance of parallel programming are diverse. Rather than seeing it as a marginal beneficial skill optionally taught at the graduate level, we understand parallel programming as crucial basic skill that should be taught as an integral part of the undergraduate computer science curriculum. A practical training course developed for computer science undergraduates at Aachen University is described. Its goal is to introduce young computer science students to different parallel programming paradigms for shared and distributed memory computers as well as to give a first exposition to the field of computational science by simple, yet carefully chosen sample problems.
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ISSN:0167-739X
1872-7115
DOI:10.1016/S0167-739X(03)00089-X