Parallel Algorithms in Computational Science: Springer Series in Information Sciences, cartea 24
Autor Dieter W. Heermann, Anthony N. Burkitten Limba Engleză Paperback – 8 dec 2011
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Specificații
ISBN-13: 9783642762673
ISBN-10: 3642762670
Pagini: 200
Ilustrații: XIII, 183 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Information Sciences
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642762670
Pagini: 200
Ilustrații: XIII, 183 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:Softcover reprint of the original 1st ed. 1991
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Springer Series in Information Sciences
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.