Space-Filling Curves (eBook)

An Introduction with Applications in Scientific Computing
Artikelnummer: 978-3-642-31046-1
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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­The present book provides an introduction to using space-filling curves (SFC) as tools in scientific computing. Special focus is laid on the representation of SFC and on resulting algorithms. For example, grammar-based techniques are introduced for traversals of Cartesian and octree-type meshes, and arithmetisation of SFC is explained to compute SFC mappings and indexings.

­The locality properties of SFC are discussed in detail, together with their importance for algorithms. Templates for parallelisation and cache-efficient algorithms are presented to reflect the most important applications of SFC in scientific computing. Special attention is also given to the interplay of adaptive mesh refinement and SFC, including the structured refinement of triangular and tetrahedral grids. For each topic, a short overview is given on the most important publications and recent research activities.

­The present book provides an introduction to using space-filling curves (SFC) as tools in scientific computing. Special focus is laid on the representation of SFC and on resulting algorithms. For example, grammar-based techniques are introduced for traversals of Cartesian and octree-type meshes, and arithmetisation of SFC is explained to compute SFC mappings and indexings.

­The locality properties of SFC are discussed in detail, together with their importance for algorithms. Templates for parallelisation and cache-efficient algorithms are presented to reflect the most important applications of SFC in scientific computing. Special attention is also given to the interplay of adaptive mesh refinement and SFC, including the structured refinement of triangular and tetrahedral grids. For each topic, a short overview is given on the most important publications and recent research activities.

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VerlagSpringer Berlin Heidelberg
EinbandPDF
Erscheinungsjahr2012
Seitenangabe285 S.
AusgabekennzeichenEnglisch
AbbildungenXIII, 278 p. 357 illus., 323 illus. in color.
Masse10'432 KB
PlattformPDF
ReiheTexts in Computational Science and Engineering; Mathematics and Statistics; Mathematics and Statistics
AutorBader, Michael

Alle Bände der Reihe "Texts in Computational Science and Engineering; Mathematics and Statistics; Mathematics and Statistics (R0)"

Über den Autor Michael Bader

Michael Bader is professor for computer science at Technische Universität München, where he leads a research group on hardware-aware algorithms and software for high performance computing (located at the Leibniz Supercomputing Centre). His focus in research and teaching is on algorithmic challenges imposed by modern computing platforms. A large part of his work is dedicated to exploiting locality properties of space-filling curves for simulation tasks in science and engineering.

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