Visualization in Supercomputing

1. Front Matter

   Pages i-vii

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2. Visualization Applications

   1. Front Matter

      Pages 1-1

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   2. Supercomputers and Workstations in Fluid Dynamic Research

      • Kozo Fujii

      Pages 3-13

   3. Numerical Simulation of A 3-Dimensional Backward-Facing Step Flow

      • Hiroshi Takeda, Erika Misaki

      Pages 14-24

   4. System Solutions for Visualization: A Case Study

      • Kohei Kumazawa, Christopher Eoyang

      Pages 25-37

3. Visualization Hardware/Performance

   1. Front Matter

      Pages 39-39

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   2. A General Approach to Nonlinear Dynamic Analysis on Parallel/Vector Computers

      • Robert E. Fulton, Kuo-Ning Chiang

      Pages 41-63

   3. Basic Performance of Two Graphics Supercomputers: Stellar GS1000 and Ardent Titan-2

      • K. Lue, K. Miyai

      Pages 64-79

   4. High Bandwidth Interactivity and Super Networks

      • James Perdue

      Pages 80-99

   5. Cellular Array Processor CAP and Visualization

      • Hiroyuki Sato, Mitsuo Ishii, Morio Ikesaka, Kouichi Murakami, Hiroaki Ishihata

      Pages 100-116

   6. Requirements for Scientific Visualization: Evolution of an Accelerator Architecture

      • Mary C. Whitton

      Pages 117-131

4. Visualization Theory

   1. Front Matter

      Pages 133-133

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   2. Advanced Visualization Environments: Knowledge-Based Image Modeling

      • Bruce H. McCormick

      Pages 135-150

   3. Geometry vs Imaging: Extended Abstract

      • Alvy Ray Smith

      Pages 151-156

   4. Lighting Simulation

      • Eihachiro Nakamae

      Pages 157-165

5. Back Matter

   Pages 167-202

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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.

• architecture
• boundary element method
• computation
• computer science
• evolution
• graphics
• hardware
• integral
• modeling
• networks
• online
• requirement
• simulation
• techniques
• visualization

• Institute for Supercomputing Research, Chuo-ku, Tokyo, Japan

  Raul H. Mendez

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