Visualization in Supercomputing
Massive amounts of numeric data are far more comprehensible when converted into graphical form. Hence visualization is becoming an integral part of many areas of research. The idea of visualization is not new, but techniques for visualization are still being developed, and visualization research is just beginning to be recognized as a cornerstone of future computer science. As scientists handle increasingly complex problems with computers, visualization will become an even more essential tool for extracting sense from numbers. This volume is a collection of the best papers selected from those presented at the August 1988 Visualization in Supercomputing Conference in Tokyo, Japan. It is divided into three parts: visualization applications, hardware and performance, and visualization theory. Subjects covered include visualization methods used in computational fluid dynamics research, time-to-solution aspects of visualization, the use of parallel/vector computers with finite element method systems, basic computational performance of two graphics supercomputers, and the applicability of the volume imaging concept in various fields.
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Visualization in Supercomputing
Massive amounts of numeric data are far more comprehensible when converted into graphical form. Hence visualization is becoming an integral part of many areas of research. The idea of visualization is not new, but techniques for visualization are still being developed, and visualization research is just beginning to be recognized as a cornerstone of future computer science. As scientists handle increasingly complex problems with computers, visualization will become an even more essential tool for extracting sense from numbers. This volume is a collection of the best papers selected from those presented at the August 1988 Visualization in Supercomputing Conference in Tokyo, Japan. It is divided into three parts: visualization applications, hardware and performance, and visualization theory. Subjects covered include visualization methods used in computational fluid dynamics research, time-to-solution aspects of visualization, the use of parallel/vector computers with finite element method systems, basic computational performance of two graphics supercomputers, and the applicability of the volume imaging concept in various fields.
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Visualization in Supercomputing

Visualization in Supercomputing

Visualization in Supercomputing

Visualization in Supercomputing

Overview

Massive amounts of numeric data are far more comprehensible when converted into graphical form. Hence visualization is becoming an integral part of many areas of research. The idea of visualization is not new, but techniques for visualization are still being developed, and visualization research is just beginning to be recognized as a cornerstone of future computer science. As scientists handle increasingly complex problems with computers, visualization will become an even more essential tool for extracting sense from numbers. This volume is a collection of the best papers selected from those presented at the August 1988 Visualization in Supercomputing Conference in Tokyo, Japan. It is divided into three parts: visualization applications, hardware and performance, and visualization theory. Subjects covered include visualization methods used in computational fluid dynamics research, time-to-solution aspects of visualization, the use of parallel/vector computers with finite element method systems, basic computational performance of two graphics supercomputers, and the applicability of the volume imaging concept in various fields.

Product Details

ISBN-13: 9781461279716
Publisher: Springer New York
Publication date: 10/01/2011
Edition description: Softcover reprint of the original 1st ed. 1990
Pages: 202
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

1: Visualization Applications.- Supercomputers and Workstations in Fluid Dynamics Research.- Numerical Simulation of a 3-D Backward-Facing Step Flow.- System Solutions for Visualization: A Case Study.- 2: Visualization Hardware/Performance.- A General Approach to Nonlinear Dynamic Analysis on Parallel/Vector Computers.- Basic Performance of Two Graphics Supercomputers: Stellar GS 1000 and Ardent Titan-2.- High Bandwidth Interactivity and Super Networks.- Cellular Array Processor CAP and Visualization.- Requirements for Scientific Visualization: Evolution of an Accelerator Architecture.- 3: Visualization Theory.- Advanced Visualization Environments: Knowledge-Based Image Modeling.- Geometry vs Imaging: Extended Abstract.- Lighting Simulation.- Co-processing Environments for Interactive Visualization.- Supercomputing Environments for the 1990s.
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