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＜電子ブック＞
Simulation and Visualization on the Grid : Parallelldatorcentrum Kungl Tekniska Högskolan Seventh Annual Conference Stockholm, Sweden December 1999 Proceedings / edited by Björn Engquist, Lennart Johnsson, Michael Hammill, Faith Short
(Lecture Notes in Computational Science and Engineering. ISSN:21977100 ; 13)

版	1st ed. 2000.
出版者	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
出版年	2000
本文言語	英語
大きさ	XIII, 304 p. 110 illus., 33 illus. in color : online resource
著者標目	Engquist, Björn editor Johnsson, Lennart editor Hammill, Michael editor Short, Faith editor SpringerLink (Online service)
件　名	LCSH:Mathematical physics LCSH:Computer simulation LCSH:Software engineering LCSH:Information visualization LCSH:Application software FREE:Mathematical Methods in Physics FREE:Computer Modelling FREE:Software Engineering FREE:Theoretical, Mathematical and Computational Physics FREE:Data and Information Visualization FREE:Computer and Information Systems Applications
一般注記	Underlined names denote speakers. Bold names denote invited speakers. -- Grid Technologies -- Efficient Distributed File I/O for Visualization in Grid Environments -- Performance Enhancements for HPVM in Multi-Network and Heterogeneous Hardware -- JACO3: A CORBA Software Infrastructure for Distributed Numerical Simulation -- New Generalized Data Structures for Matrices Lead to a Variety of High-Performance Algorithms -- Technologies for High-Performance Computing in the Next Millennium -- Grid Visualization and Virtual Reality -- Global Tele-Immersion: Working in Cyberspace -- ActiveSpaces on the Grid: The Construction of Advanced Visualization and Interaction Environments -- The Global Technology Grid: Its Role in Virtual Reality -- Steering and Visualization of Electromagnetic Simulations Using Globus -- Immersive Displays for the Individual, the Group, and for Networked Collaboration -- Distributed Visualization and the Grid -- Acceleration of a Formfactor Calculation through the Use of the 2D Tree -- Applications of Volume Rendering in the CAVE -- Scalable Visualization of Galaxies, Oceans, and Brains -- SIM-VR: Interactive Crash Simulation -- Biology and Chemistry -- Visualization on the Grid of Virus-Host Interaction -- GISMOS: Graphics and Interactive Steering of MOlecular Simulations -- Monte Carlo Simulation of Solutions of Like-Charged Colloidal Particles -- Physics -- Towards Large Eddy Simulation of Complex Flows -- Computation of Dendrites on Parallel Distributed Memory Architectures -- Astrophysical MHD Simulation and Visualization -- On Grid Partitioning for a High-Performance Groundwater Simulation Software -- Visualization of Multi-Scale Data Sets in a Self-Organized Criticality Sandpile Model -- Simulation and Visualization of Climate Scenarios on a Distributed Memory Platform.-Panel Discussion -- The Grid: What's Really Going On? -- Presenters -- Color Plates It is now 30 years since the network for digital communication, the ARPA-net, first came into operation. Since the first experiments with sending electronic mail and performing file transfers, the development of networks has been truly remarkable. Today's Internet continues to develop at an exponential rate that even surpasses that of computing and storage technologies. About five years after being commercialized, it has become as pervasive as the tele­ phone had become 30 years after its initial deployment. In the United States, the size of the Internet industry already exceeds that of the auto industry, which has been in existence for about 100 years. The exponentially increas­ ing capabilities of communication, computing, and storage systems is also reshaping the way science and engineering are pursued. Large-scale simulation studies in chemistry, physics, engineering, and sev­ eral other disciplines may now produce data sets of ,several terabytes or petabytes. Similarly, almost all measurements today produce data in digital form, whether from collections of sensors, three-dimensional digital images, or video. These data sets often represent complex phenomena that require rich visualization capabilities and efficient data-mining techniques to under­ stand. Furthermore, the data may be produced and archived in several differ­ ent locations, and the analysis carried out by teams with members at several locations-possibly distinct from those with significant storage, computation, or visualization facilities. The emerging computational Grids enable the transparent use of remote instruments, computational and data resources HTTP:URL=https://doi.org/10.1007/978-3-642-57313-2

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