<p>"...the perfect companion to <i>Programming Massively Parallel Processors</i> by Hwu & Kirk." -Nicolas Pinto, Research Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010</p> <p>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. </p> <p><i>GPU Computing Gems: Emerald Edition</i> brings their techniques to you, showcasing GPU-based solutions including:</p> <ul><li>Black hole simulations with CUDA</li><li>GPU-accelerated computation and interactive display of molecular orbitals</li><li>Temporal data mining for neuroscience</li><li>GPU -based parallelization for fast circuit optimization</li><li>Fast graph cuts for computer vision</li><li>Real-time stereo on GPGPU using progressive multi-resolution adaptive windows</li><li>GPU image demosaicing</li><li>Tomographic image reconstruction from unordered lines with CUDA</li><li>Medical image processing using GPU -accelerated ITK image filters</li><li><i>41 more chapters</i> of innovative GPU computing ideas, written to be accessible to researchers from any domain</li></ul> <p><i>GPU Computing Gems: Emerald Edition</i> is the first volume in Morgan Kaufmann's <b>Applications of GPU Computing Series</b>, 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.</p><ul><li>Covers the breadth of industry from scientific simulation and electronic design automation to audio / video processing, medical imaging, computer vision, and more</li><li>Many examples leverage NVIDIA's CUDA parallel computing architecture, the most widely-adopted massively parallel programming solution</li><li>Offers insights and ideas as well as practical "hands-on" skills you can immediately put to use</li></ul>