Accelerating MATLAB with GPU Computing

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  • Author : Jung W. Suh
  • Publisher : Morgan Kaufmann
  • Pages : 248 pages
  • ISBN : 9780124080805
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Accelerating MATLAB with GPU Computing

Download or Read online Accelerating MATLAB with GPU Computing full in PDF, ePub and kindle. this book written by Jung W. Suh and published by Morgan Kaufmann which was released on 26 November 2013 with total page 248 pages. We cannot guarantee that Accelerating MATLAB with GPU Computing book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers' projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/ Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge Explains the related background on hardware, architecture and programming for ease of use Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects

Accelerating MATLAB with GPU Computing

Accelerating MATLAB with GPU Computing
  • Author : Jung W. Suh,Youngmin Kim
  • Publisher : Morgan Kaufmann
  • Release : 26 November 2013
GET THIS BOOK Accelerating MATLAB with GPU Computing

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the

Accelerating MATLAB with GPU Computing

Accelerating MATLAB with GPU Computing
  • Author : Jung W. Suh,Youngmin Kim
  • Publisher : Newnes
  • Release : 18 November 2013
GET THIS BOOK Accelerating MATLAB with GPU Computing

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the

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  • Publisher : CRC Press
  • Release : 11 December 2014
GET THIS BOOK Accelerating MATLAB Performance

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  • Release : 19 July 2017
GET THIS BOOK Recent Progress in Parallel and Distributed Computing

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  • Release : 25 August 2016
GET THIS BOOK GPU Programming in MATLAB

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GET THIS BOOK Business Process Management Workshops

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  • Publisher : Addison-Wesley Professional
  • Release : 02 November 2015
GET THIS BOOK CUDA for Engineers

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  • Publisher : Bentham Science Publishers
  • Release : 21 March 2018
GET THIS BOOK Frontiers in Fractional Calculus

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  • Release : 25 October 2021
GET THIS BOOK GPU Computing Gems

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  • Release : 14 April 2015
GET THIS BOOK High performance computing for solving large sparse systems Optical diffraction tomography as a case of study

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