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GPU-Based Interactive Visualization Techniques / by Daniel Weiskopf
(Mathematics and Visualization. ISSN:2197666X)

Edition 1st ed. 2007.
Publisher (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
Year 2007
Language English
Size XV, 312 p : online resource
Authors *Weiskopf, Daniel author
SpringerLink (Online service)
Subjects LCSH:Information visualization
FREE:Data and Information Visualization
Notes 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
HTTP:URL=https://doi.org/10.1007/978-3-540-33263-3
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E-Book オンライン 電子ブック

Springer eBooks 9783540332633
電子リソース
EB00232861

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Material Type E-Book
Classification LCC:QA76.9.I52
DC23:001.4226
ID 4000116483
ISBN 9783540332633

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