Overview
- Fits into many computer science degrees where students have already been exposed to programming languages
- Highly accessible, sacrificing mathematical formalism in exchange for trial-and-error and bringing the fundamental ideas across
- Offers reduced domain-specific jargon, instead introducing fundamental concepts of applied mathematics/numerics and focusing on the large picture approach needed for any application domain later explored
- Pairs an introduction to mathematical concepts with an introduction to parallel programming
- Emphasises (avoiding a code orientation) the paradigms and ideas behind parallelisation, so students can later on transfer their knowledge and skills to new technologies
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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Table of contents (20 chapters)
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Front Matter
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Introduction: Why to Study the Subject
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Front Matter
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Back Matter
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How the Machine Works
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Front Matter
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Back Matter
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Floating Point Number Crunching
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Front Matter
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Back Matter
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Basic Numerical Techniques and Terms
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Front Matter
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Keywords
About this book
New insight in many scientific and engineering fields is unthinkable without the use of numerical simulations running efficiently on modern computers. The faster we get new results, the bigger and accurate are the problems that we can solve. It is the combination of mathematical ideas plus efficient programming that drives the progress in many disciplines. Future champions in the area thus will have to be qualified in their application domain, they will need a profound understanding of some mathematical ideas, and they need the skills to deliver fast code.
The present textbook targets students which have programming skills already and do not shy away from mathematics, though they might be educated in computer science or an application domain. It introduces the basic concepts and ideas behind applied mathematics and parallel programming that we need to write numerical simulations for today’s multicore workstations. Our intention is not to dive into one particular applicationdomain or to introduce a new programming language – we lay the generic foundations for future courses and projects in the area.
The text is written in an accessible style which is easy to digest for students without years and years of mathematics education. It values clarity and intuition over formalism, and uses a simple N-body simulation setup to illustrate basic ideas that are of relevance in various different subdomains of scientific computing. Its primary goal is to make theoretical and paradigmatic ideas accessible to undergraduate students and to bring the fascination of the field across.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Principles of Parallel Scientific Computing
Book Subtitle: A First Guide to Numerical Concepts and Programming Methods
Authors: Tobias Weinzierl
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-3-030-76194-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-76193-6Published: 10 February 2022
eBook ISBN: 978-3-030-76194-3Published: 09 February 2022
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 1
Number of Pages: XIII, 314
Number of Illustrations: 47 b/w illustrations, 37 illustrations in colour
Topics: Mathematics of Computing, Computer Hardware, Programming Techniques, System Performance and Evaluation, Computational Science and Engineering