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

1st ed. 2007.
出版者 (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年 2007
本文言語 英語
大きさ XV, 312 p : online resource
著者標目 *Weiskopf, Daniel author
SpringerLink (Online service)
件 名 LCSH:Information visualization
FREE:Data and Information Visualization
一般注記 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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電子ブック オンライン 電子ブック

Springer eBooks 9783540332633
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データ種別 電子ブック
分 類 LCC:QA76.9.I52
DC23:001.4226
書誌ID 4000116483
ISBN 9783540332633

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