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"…the fitting companion to Programming Massively Parallel Processors by Hwu & Kirk." -Nicolas Pinto, Evaluation Scientist at Harvard & MIT, NVIDIA Fellow 2009-2010
Graphics processing fashions (GPUs) can do excess of render graphics. Scientists and researchers increasingly more look to GPUs to reinforce the effectivity and effectivity of computationally-intensive experiments all through a spread of disciplines.
GPU Computing Gems: Emerald Edition brings their strategies to you, showcasing GPU-based choices along with: Black hole simulations with CUDAGPU-accelerated computation and interactive present of molecular orbitalsTemporal data mining for neuroscienceGPU -based parallelization for fast circuit optimizationFast graph cuts for laptop visionReal-time stereo on GPGPU using progressive multi-resolution adaptive windowsGPU image demosaicingTomographic image reconstruction from unordered strains with CUDAMedical image processing using GPU -accelerated ITK image filters41 additional chapters of revolutionary GPU computing ideas, written to be accessible to researchers from any space
GPU Computing Gems: Emerald Edition is the first amount in Morgan Kaufmann's Functions of GPU Computing Assortment, offering the most recent insights and evaluation in laptop imaginative and prescient, digital design automation, rising data-intensive functions, life sciences, medical imaging, ray tracing and rendering, scientific simulation, signal and audio processing, statistical modeling, and video / image processing.
Covers the breadth of business from scientific simulation and digital design automation to audio / video processing, medical imaging, laptop imaginative and prescient, and moreMany examples leverage NVIDIA's CUDA parallel computing construction, in all probability probably the most extensively-adopted massively parallel programming solutionOffers insights and ideas along with smart "palms-on" experience you probably can immediately put to make use of
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