Abstract

".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.

Original languageEnglish (US)
PublisherElsevier Inc.
ISBN (Print)9780123849885
DOIs
StatePublished - Jan 1 2011

Fingerprint

Gems
Computer vision
Parallel programming
Medical imaging
Graphics processing unit
Medical image processing
Ray tracing
Molecular orbitals
Parallel processing systems
Processing
Image reconstruction
Program processors
Data mining
Image processing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

GPU Computing Gems Emerald Edition. / Hwu, Wen-Mei W.

Elsevier Inc., 2011.

Research output: Book/ReportBook

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