000			02089nam a22003975i 4500
001			978-3-540-33263-3
003			DE-He213
005			20161121231127.0
007			cr nn 008mamaa
008			100301s2007 gw | s |||| 0|eng d
020			_a9783540332633 _9978-3-540-33263-3
024	7		_a10.1007/978-3-540-33263-3 _2doi
050		4	_aQA76.9.I52
072		7	_aPBV _2bicssc
072		7	_aMAT013000 _2bisacsh
082	0	4	_a004 _223
100	1		_aWeiskopf, Daniel. _eauthor.
245	1	0	_aGPU-Based Interactive Visualization Techniques _h[electronic resource] / _cby Daniel Weiskopf.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2007.
300			_aXV, 312 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
520			_aScientific 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.
650		0	_aMathematics.
650		0	_aVisualization.
650	1	4	_aMathematics.
650	2	4	_aVisualization.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540332626
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-540-33263-3
912			_aZDB-2-SMA
950			_aMathematics and Statistics (Springer-11649)
999			_c508998 _d508998