".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

Download File Size:18.82 MB

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