High Performance Visualization: Enabling Extreme-Scale Scientific Insight (Chapman & Hall/CRC Computational Science)

Bethel, E. Wes [Editor]; Childs, Hank [Editor]; Hansen, Charles [Editor];

ISBN 10: 1439875723 / ISBN 13: 9781439875728

Published by Chapman and Hall/CRC, 2012

About this Item

Clean and unmarked. Some minor cosmetic shelf wear. From a private collection. Very good condition. Comes from non smoking home.

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Bibliographic Details

• Title: High Performance Visualization: Enabling Extreme-Scale Scientific Insight (Chapman & Hall/CRC Computational Science)
• Publisher: Chapman and Hall/CRC
• Publication Date: 2012
• Language: English
• ISBN 10: 1439875723
• ISBN 13: 9781439875728
• Binding: hardcover
• Condition: Used: Very Good
• Weight: 30 ounces

About this title

Synopsis

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 scientific visualization concerned with algorithm design, implementation, and optimization for use on today’s largest computational platforms.

The book collects some of the most seminal work in the field, including algorithms and implementations running at the highest levels of concurrency and used by scientific researchers worldwide. After introducing the fundamental concepts of parallel visualization, the book explores approaches to accelerate visualization and analysis operations on high performance computing platforms. Looking to the future and anticipating changes to computational platforms in the transition from the petascale to exascale regime, it presents the main research challenges and describes several contemporary, high performance visualization implementations.

Reflecting major concepts in high performance visualization, this book unifies a large and diverse body of computer science research, development, and practical applications. It describes the state of the art at the intersection of scientific visualization, large data, and high performance computing trends, giving readers the foundation to apply the concepts and carry out future research in this area.

About the Author

E. Wes Bethel, Hank Childs, Charles Hansen