Large Scale Computational Physics On Massively Parallel Computers

Large Scale Computational Physics On Massively Parallel Computers

Author: Hans J Herrmann

Publisher: World Scientific

Published: 1993-12-27

Total Pages: 296

ISBN-13: 9814552038

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Contents:A Lattice Solid Model for the Nonlinear Dynamics of Earthquakes (P Mora & D Place)Vectorized and Parallelized Algorithms for Multi-Million Particle MD-Simulations (W Form et al)Green-Function Method for Electronic Structure of Periodic Crystals (R Zeller)Parallelization of the Ising Simulation (N Ito)A Nonlocal Approach to Vertex Models and Quantum Spin Systems (H G Evertz & M Marcu)The Static Quark-Antiquark-Potential: A ‘Classical’ Experiment on the Connection Machine CM-2 (K Schilling & G S Bali)Determination of Monopole Current Clusters in Four-Dimensional Quantum Electrodynamics (A Bode et al)QCD Calculations on the QCDPAX (K Kanaya)UKQCD — Recent Results and Future Prospects (R Kenway)Programming Tools for Parallel Computers (K J M Moriarity & T Trappenberg)Workstation Clusters: One Way to Parallel Computing (M Weber)APE100 and Beyond (R Tripiccione)and other papers Readership: Computational physicists. keywords:


Computational Approaches in Condensed-Matter Physics

Computational Approaches in Condensed-Matter Physics

Author: Seiji Miyashita

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 301

ISBN-13: 3642848214

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Interacting many-body systems are the main subjects of research in theoretical condensed matter physics, and they are the source of both the interest and the difficulty in this field. In order to understand the macroscopic properties of matter in terms of macroscopic knowledge, many analytic and approximate methods have been introduced. The contributions to this proceedings volume focus on the most recent developments of computational approaches in condensed matter physics. Monte Carlo methods and molecular dynamics simulations applied to strongly correlated classical and quantum systems such as electron systems, quantum spin systems, spin glassss, coupled map systems, polymers and other random and comlex systems are reviewed. Comprising easy to follow introductions to each field covered and also more specialized contributions,this proceedings volume explains why computational approaches are necessary and how different fields are related to each other.


Programming Massively Parallel Processors

Programming Massively Parallel Processors

Author: David B. Kirk

Publisher: Newnes

Published: 2012-12-31

Total Pages: 519

ISBN-13: 0123914183

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Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing


Heterogeneous Computing & Multidisciplinary Applications

Heterogeneous Computing & Multidisciplinary Applications

Author: Nobuhiko Koike

Publisher: SIAM

Published: 2000-01-01

Total Pages: 184

ISBN-13: 9780898714494

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This symposium brought together technology providers, application program developers, and industrial users of high performance computing systems. The articles address the current and future developments of computing systems for numerical simulation seen from these various viewpoints. The main issues raised include these questions:


Parallel Computing Works!

Parallel Computing Works!

Author: Geoffrey C. Fox

Publisher: Elsevier

Published: 2014-06-28

Total Pages: 1012

ISBN-13: 0080513514

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A clear illustration of how parallel computers can be successfully appliedto large-scale scientific computations. This book demonstrates how avariety of applications in physics, biology, mathematics and other scienceswere implemented on real parallel computers to produce new scientificresults. It investigates issues of fine-grained parallelism relevant forfuture supercomputers with particular emphasis on hypercube architecture. The authors describe how they used an experimental approach to configuredifferent massively parallel machines, design and implement basic systemsoftware, and develop algorithms for frequently used mathematicalcomputations. They also devise performance models, measure the performancecharacteristics of several computers, and create a high-performancecomputing facility based exclusively on parallel computers. By addressingall issues involved in scientific problem solving, Parallel ComputingWorks! provides valuable insight into computational science for large-scaleparallel architectures. For those in the sciences, the findings reveal theusefulness of an important experimental tool. Anyone in supercomputing andrelated computational fields will gain a new perspective on the potentialcontributions of parallelism. Includes over 30 full-color illustrations.


Verification and Validation in Scientific Computing

Verification and Validation in Scientific Computing

Author: William L. Oberkampf

Publisher: Cambridge University Press

Published: 2010-10-14

Total Pages: 782

ISBN-13: 1139491768

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Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.


Issues in Computation: 2011 Edition

Issues in Computation: 2011 Edition

Author:

Publisher: ScholarlyEditions

Published: 2012-01-09

Total Pages: 1318

ISBN-13: 146496453X

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Issues in Computation / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Computation. The editors have built Issues in Computation: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Computation in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Computation / 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.


Applied Computational Physics

Applied Computational Physics

Author: Joseph F. Boudreau

Publisher: Oxford University Press

Published: 2018

Total Pages: 936

ISBN-13: 0198708637

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A textbook that addresses a wide variety of problems in classical and quantum physics. Modern programming techniques are stressed throughout, along with the important topics of encapsulation, polymorphism, and object-oriented design. Scientific problems are physically motivated, solution strategies are developed, and explicit code is presented.


Computational Physics: Proceedings Of The Cp90 International Conference

Computational Physics: Proceedings Of The Cp90 International Conference

Author: Armin G Tenner

Publisher: #N/A

Published: 1991-04-30

Total Pages: 575

ISBN-13: 9814569399

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The invited talks include applications from the fields of solid state physics, plasma physics, hydrodynamics, high-energy physics, thermodymanics, atomic and molecular physics, chemistry, statistical physics, earth sciences, neural networks, meteorology, astrophysics, and presentations on cellular automata and quantum Monte Carlo methods. The emphasis is on methods of software development and engineering, graphic tools, and storage of physical data.


Parallel Computational Fluid Dynamics

Parallel Computational Fluid Dynamics

Author: Kenli Li

Publisher: Springer

Published: 2014-03-08

Total Pages: 626

ISBN-13: 3642539629

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This book constitutes the refereed proceedings of the 25th International Conference on Parallel Computational Fluid Dynamics, ParCFD 2013, held in Changsha, China, in May 2013. The 35 revised full papers presented were carefully reviewed and selected from more than 240 submissions. The papers address issues such as parallel algorithms, developments in software tools and environments, unstructured adaptive mesh applications, industrial applications, atmospheric and oceanic global simulation, interdisciplinary applications and evaluation of computer architectures and software environments.