Overview

This volume covers a wide range of subjects in computational science, from astrophysics to molecular science and from general-purpose high-performance computers to special-purpose computing devices. The main topic is the interaction between the requirement from application and the design of high-performance computers. In particular, special-purpose computers for molecular dynamics, Lattice QCD, and astrophysics are discussed. The book should be of interest to astrophysicists, physicists and chemists who are involved in computer simulation. It should also be of interest to computer scientists with interest in hardware architecture of high-performance computers.

Full Product Details

Author:   Toshikazu Ebisuzaki ,  Junichiro Makino
Publisher:   Springer
Imprint:   Springer
Edition:   2001 ed.
Volume:   263
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.732kg
ISBN:  

9780792370505

ISBN 10:   0792370503
Pages:   312
Publication Date:   30 November 2001
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Preface; T. Ebisuzaki, J. Makino. List of Participants. Stellar Evolution, Stellor Dynamics and Tera-Flops Computation; D. Sugimoto. Simulation of Nature by Computer; D. Arnett. Supercomputing and Evolution in Close Binaries; Y. Kondo. Stellar Dynamics of Dense Stellar Systems; P. Hut. Stellar Dynamics on 200 Tflops Special-Purpose Computers; J. Makino. Astrophysical N-Body Simulations: Algorithms and Challenges; R. Spurzem. Star Cluster Simulations; D.C. Heggie. Stellar Dynamical Simulations of Galaxies and of Galaxy System Using the Marselle Grape-3 Systems; E. Athanassoula. Accretion of Planets and Moons; S. Ida. What We Learned from Special Purpose Computers; A.F. Bakker, F. Berwald. Reconfigurable Computing; J.M. Arnold. Special-Purpose Computer for Radio Astronomy; S.K. Okumura. Special-Purpose Computers for Classical Particle Simulations; M. Taiji. Molecular Dynamics Machine: Highly Parallelized Special-Purpose-Computer for Molecular Dynamics Simulations; T. Narumi, et al. Molecular Simulations with the MD-Grape Special-Purpose Computer; M.J. Field. High Performance Computing in Biophysics: Recent Experiences and Developments of Charmm; M. Hodoscek, et al. Massive Parallelism: The Hardware for Computational Chemistry? M.F. Guest, et al. Molecular Dynamics Simulation of Ion Channels; Q. Zhong, et al. The QCDSP Computer: Particle Physics with 20,000 Processors; R.D. Mawhinney. The CP-PACS Project and Lattice QCD; Y. Iwasaki. Three Generations of APE Projects: Lessons and Perspective; R. Tripiccione. Vector-Parallel Processing and Fujitsu VPP300E/700E Supercomputer System; K. Miura. The Evolution of Rotating Collisional Stellar Systems; C.R.W. Einsel. Effects of the Alfvén Wave on the GravitationalInstability in the Interstellar Medium; N. Fukuda, T. Hanawa. N-Body Simulation of Halo Formation Using GRAPE-4; T. Fukushige, J. Makino. The PCI Interface for Grape Systems: PCI-HIB; A. Kawai, et al. Fragmentation of Molecular Clouds: The Initial Phase of a Stellar Cluster; R.S. Klessen, A. Burkert. Formation of Star Clusters in the Magellanic Clouds; M. Kontizas, et al. Three Dimensional MHD Simulations of Accretion Disks and Jet Formation; R. Matsumoto, et al. Gravitational Collapse of Rotating Clouds: Bar Formation in a Self-Similarly Contracting Disk; T. Matsumoto, T. Hanawa. The Formation and Evolution of Dwarf Galaxies: Hydrodynamics and Color Gradient; M. Mori, et al. Parallel 3D Lattice Boltzmann Simulations of Turbulent Dark Cloud Flows; D. Muders. Photoionization of a Clumpy Universe; T. Nakamoto, et al. Smoothed Particle Hybrodynamics with Parallel Virtual Machine; N. Nakasato, et al. Jets from Time-Dependent Accretion Flows onto a Black Hole; K. Nobuta, T. Hanawa. Supercomputing in the Astronomical Institute of Romanian Academy; M.D. Suran, N.A. Popescu. Anisotropic Fokker-Planck Models of Globular Cluster Evolution; K. Takahashi. An Efficient Parallel Hierarchical Algorithm for Module Placement; T. Yang. The Efficient Parallel Newton-GMRES Algorithm for Computational Fluid Dynamics; T. Yang. Molecular Mechanism of Homogeneous Nucleation in Vapor Phase: Lennard-Jones Fluid; K. Yasuoka, M. Matsumoto. Development of Special Purpose Computer for Cosmic Hydrodynamics with SPH Method; Y. Yokono, et al. Index.

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