Title
GPU-Based Interactive Visualization Techniques [electronic resource] / by Daniel Weiskopf.
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Physical Description
1 online resource (XV, 312 p).
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
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Added to Catalog
July 11, 2019
Series
Mathematics and Visualization,
Also listed under
SpringerLink (Online service)