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Title:
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FAST AND MEMORY EFFICIENT GPU-BASED RENDERING OF TENSOR DATA |
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Author(s):
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Mario Hlawitschka , Sebastian Eichelbaum , Gerik Scheuermann |
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ISBN:
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978-972-8924-63-8 |
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Editors:
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Yingcai Xiao and Eleonore ten Thij |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Tensor visualization, hardware acceleration, glyph rendering, GPU |
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Type:
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Full Paper |
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First Page:
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36 |
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Last Page:
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42 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Graphics hardware is advancing very fast and offers new possibilities to programmers. The new features can be used in
scientific visualization to move calculations from the CPU to the graphics processing unit (GPU). This is useful
especially when mixing CPU intense calculations with on the fly visualization of intermediate results. We present a
method to display a large amount of superquadric glyphs and demonstrate its use for visualization of measured secondorder
tensor data in diffusion tensor imaging (DTI) and to stress and strain tensors of computational fluid dynamic and
material simulations. |
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