GPU Computing Gems Emerald Edition (Applications of GPU Computing Series)
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"...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 ...
.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 CUDAGPU-accelerated computation and interactive display of molecular orbitalsTemporal data mining for neuroscienceGPU -based parallelization for fast circuit optimizationFast graph cuts for comput GPU Computing Gems Emerald Edition new edition
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format hardback language english publication year 09 03 2011 subject computing it subject 2 computing professional programming ean 9780123849885 title gpu computing gems sku st 0123849888 product category books comics magazines about speedy hen ltd by continuing with this checkout and ordering from speedy hen you are accepting our current terms and conditions details of which can be found by clicking here author biography wen mei w hwu is the walter j jerry sanders iii advanced micro devices end
"…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
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
Graphics Processing Units (GPUs) are designed to be parallel - having hundreds of cores versus traditional CPUs. Increasingly, you can leverage GPU power for any computationally-intense operation - not just for graphics. If you're facing the challenge of programming systems to effectively use these massively parallel processors to achieve efficiency and performance goals, GPU Computing Gems provides a wealth of tested, proven GPU techniques. Learn from the leading researchers in concurrent programming, who have gathered their insights and experience in one volume under the guidance of NVIDIA a
GPU Computing Gems Emerald Edition Textbook
.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
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 CUDAGPU-accelerated computation and interactive display of molecular orbitalsTemporal data mining for neuroscienceGPU -based parallelization for fast circuit optimizationFast graph cuts for comput
