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GPU Computing Gems - Emerald Edition (Applications of GPU Computing Series)
"...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: * 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. * Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more * Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution * Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use ----------------- Series: Applications of GPU Computing Series Hardcover: 886 pages Publisher: Morgan Kaufmann; 1 edition (February 7, 2011) Language: English ISBN-10: 0123849888 ISBN-13: 978-0123849885 Sharing Widget |