Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Parallel Algorithms in Computational Science - Dieter W. Heermann, Anthony N. Burkitt

Parallel Algorithms in Computational Science

Buch | Softcover
XIII, 183 Seiten
2011 | 1. Softcover reprint of the original 1st ed. 1991
Springer Berlin (Verlag)
978-3-642-76267-3 (ISBN)
CHF 74,85 inkl. MwSt
Our aim in this book is to present and enlarge upon those aspects of parallel computing that are needed by practitioners of computational science. Today al most all classical sciences, such as mathematics, physics, chemistry and biology, employ numerical methods to help gain insight into nature. In addition to the traditional numerical methods, such as matrix inversions and the like, a whole new field of computational techniques has come to assume central importance, namely the numerical simulation methods. These methods are much less fully developed than those which are usually taught in a standard numerical math ematics course. However, they form a whole new set of tools for research in the physical sciences and are applicable to a very wide range of problems. At the same time there have been not only enormous strides forward in the speed and capability of computers but also dramatic new developments in computer architecture, and particularly in parallel computers. These improvements offer exciting prospects for computer studies of physical systems, and it is the new techniques and methods connected with such computer simulations that we seek to present in this book, particularly in the light of the possibilities opened up by parallel computers. It is clearly not possible at this early stage to write a definitive book on simulation methods and parallel computing.

1. Introduction.- 2. Computer Simulation Methods.- 2.1 Essential Features of Simulation Methods.- 2.2 The Monte Carlo Algorithm.- 2.3 Molecular Dynamics.- 2.4 Hybrid Molecular Dynamics.- 2.5 Accuracy Considerations and Finite-Size Problems.- 2.6 Monte Carlo Algorithm for the Ising Model.- 3. Physics and Parallelism.- 4. Concepts of Parallelism.- 4.1 Some Basic Definitions.- 4.2 The Complexity of Computation.- 4.3 More on Models and Methods.- 4.4 Performance Measurements.- 5. Parallel Machines and Languages.- 5.1 General Purpose Parallel Computers.- 5.2 Parallel Machines for Special Physics Problems.- 5.3 Languages for Parallel Computers.- 5.4 The Matching Problem.- 6. Replication Algorithms.- 7. Geometrically Parallel Algorithms.- 7.1 Geometric Parallelization.- 7.2 Strips, Squares and Checker-Boards.- 7.3 Non-local and Cluster Algorithms.- 7.4 Parallel Molecular Dynamics Algorithms.- 7.5 Hybrid Molecular Dynamics.- 7.6 Polymers on the Lattice.- 7.7 Off-Lattice Polymers.- 7.8 Hybrid Molecular Dynamics for Polymers.- 7.9 Limits of Geometric Parallelization.- 8. Data Parallel Algorithms.- 8.1 Data Parallel Algorithm for Long-Range Interactions.- 8.2 Polymers.- 9. Introduction to a Parallel Language.- 9.1 Transputer-Based Parallel Machines.- 9.2 Parallel Programming in Occam.- Appendices.- A. A Parallel Ising Model Program.- B. Random Number Generator.- C. A Parallel Molecular Dynamics Program.- References.

Erscheint lt. Verlag 8.12.2011
Reihe/Serie Springer Series in Information Sciences
Zusatzinfo XIII, 183 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 311 g
Themenwelt Naturwissenschaften Physik / Astronomie Allgemeines / Lexika
Naturwissenschaften Physik / Astronomie Theoretische Physik
Schlagworte algorithms • Computational Physics • molecular dynamics • Monte Carlo Method • Parallel Algorithms • Parallel computers
ISBN-10 3-642-76267-0 / 3642762670
ISBN-13 978-3-642-76267-3 / 9783642762673
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Das Lehrbuch

von Wilhelm Kulisch; Regine Freudenstein

Buch | Softcover (2024)
Wiley-VCH (Verlag)
CHF 55,95
für Studierende der Naturwissenschaften und Technik

von Paul A. Tipler; Peter Kersten; Gene Mosca

Buch | Hardcover (2024)
Springer Spektrum (Verlag)
CHF 109,95