High Performance Visualization: Enabling Extreme-Scale Scientific Insight, 1st Edition (e-Book) book cover

High Performance Visualization

Enabling Extreme-Scale Scientific Insight, 1st Edition

Edited by E. Wes Bethel, Hank Childs, Charles Hansen

Chapman and Hall/CRC

520 pages

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pub: 2016-11-16
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pub: 2012-10-25
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Description

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi

Table of Contents

Introduction. I Distributed Memory Parallel Concepts and Systems: Parallel Visualization Frameworks. Remote and Distributed Visualization Architectures. Rendering. Parallel Image Compositing Methods. Parallel Integral Curves. II Advanced Processing Techniques: Query-Driven Visualization and Analysis. Progressive Data Access for Regular Grids: In Situ Processing. Streaming and Out-of-Core Methods. III Advanced Architectural Challenges and Solutions: GPU-Accelerated Visualization. Hybrid Parallelism. Visualization at Extreme Scale Concurrency. Performance Optimization and Auto-tuning. The Path to Exascale. IV High Performance Visualization Implementations: VisIt: An End-User Tool for Visualizing and Analyzing Very Large Data. IceT. The ParaView Visualization Application. The ViSUS Visualization Framework. The VAPOR Visualization Application. The EnSight Visualization Application. Index.

Subject Categories

BISAC Subject Codes/Headings:
COM000000
COMPUTERS / General
COM012000
COMPUTERS / Computer Graphics
MAT004000
MATHEMATICS / Arithmetic