GPU Computing Gems (Emerald Edition). PDF EN

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GPU Computing Gems (Emerald Edition). PDF EN (Size: 20.17 MB)
 GPU Computing Gems (Emerald Edition).pdf20.17 MB


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Graphics Processing Units (GPUs) are designed to be parallel
having hundreds of cores versus traditional CPUs. Increasingly, you
can leverage GPU power for many computationally-intense
applications not just for graphics. If you're facing the challenge of
programming systems to effectively use these massively parallel
processors to achieve efficiencyandperformance goals,GPU
Computing Gemsprovides a wealth of tested, proven GPU techniques.
Different application domains often pose similar algorithm problems, and
researchers from diverse application domains often develop similar
algorithmic strategies.GPU Computing Gemsoffers developers a window
into diverse application areas, and the opportunity to gain
insights from others' algorithm work that they may apply to
their own projects.

Learn from the leading researchers in parallel programming, who
have gathered their solutions and experience in one volume under
the guidance of expert area editors. Each chapter is written to be
accessible to researchers from other domains, allowing knowledge
to cross-pollinate across the GPU spectrum.

GPU Computing Gems: Emerald Editionis the first volume in
Morgan Kaufmann'sApplications of GPU Computing Series, offering
the latest insights and research in computer vision, electronic
design automation, emerging data-intensive applications, life
sciences, medical imaging, ray tracing and rendering, scientific
simulation, signal and audio processing, statistical modeling, video
and image processing.



Published: 2011-02-07
886 pages
Author: Wen-mei W. Hwu
Format: PDF
Language: EN

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thanks!!!