Authors:
- First book to focus on GPU methods for scientific visualization
- Fast growing field
Part of the book series: Mathematics and Visualization (MATHVISUAL)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
Scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines.
This book focuses on efficient visualization techniques, which are the prerequisite for the interactive exploration of complex data sets. High performance is primarily achieved by devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Other aspects discussed in the book include parallelization on cluster computers with several GPUs, adaptive rendering methods, multi-resolution models, and non-photorealistic rendering techniques for visualization. Covering both the theoretical foundations and practical implementations of algorithms, this book provides the reader with a basis to understand and reproduce modern GPU-based visualization approaches.
Authors and Affiliations
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School of Computing Science, Simon Fraser University, V5A 1S6, Burnaby, Canada
Daniel Weiskopf
Bibliographic Information
Book Title: GPU-Based Interactive Visualization Techniques
Authors: Daniel Weiskopf
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-540-33263-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-33262-6Published: 26 October 2006
Softcover ISBN: 978-3-642-44605-4Published: 02 December 2014
eBook ISBN: 978-3-540-33263-3Published: 13 October 2006
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: XV, 312
Topics: Visualization