"...the perfect companion to Programming Massively Parallel Processors by Hwu & Kirk." -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010

Graphics processing units (GPUs) can do much more than render graphics. Scientists and researchers increasingly look to GPUs to improve the efficiency and performance of computationally-intensive experiments across a range of disciplines.

GPU Computing Gems: Emerald Edition brings their techniques to you, showcasing GPU-based solutions including:

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  Black hole simulations with CUDA


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  GPU-accelerated computation and interactive display of molecular orbitals


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  Temporal data mining for neuroscience


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  GPU -based parallelization for fast circuit optimization


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  Fast graph cuts for computer vision


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  Real-time stereo on GPGPU using progressive multi-resolution adaptive windows


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  GPU image demosaicing


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  Tomographic image reconstruction from unordered lines with CUDA


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  Medical image processing using GPU -accelerated ITK image filters


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  41 more chapters of innovative GPU computing ideas, written to be accessible to researchers from any domain

GPU Computing Gems: Emerald Edition is the first volume in Morgan Kaufmann's Applications 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, and video / image processing.

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  Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more


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  Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution


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  Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use