GPU Computing Gems

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Ed. Wen-mei W. Hwu

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:

• Black hole simulations with CUDA
• GPU-accelerated computation and interactive display of molecular orbitals
• Temporal data mining for neuroscience
• GPU -based parallelization for fast circuit optimization
• Fast graph cuts for computer vision
• Real-time stereo on GPGPU using progressive multi-resolution adaptive windows
• GPU image demosaicing
• Tomographic image reconstruction from unordered lines with CUDA
• Medical image processing using GPU -accelerated ITK image filters
• 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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Website: http://astore.amazon.co.uk/moneyscience3-21/detail/0123849888