Accelerating MATLAB with GPU Computing

Written By Jung W. Suh
Accelerating MATLAB with GPU Computing
  • Publsiher : Newnes
  • Release : 18 November 2013
  • ISBN : 0124079164
  • Pages : 258 pages
  • Rating : /5 from reviews
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Download or read book entitled Accelerating MATLAB with GPU Computing by author: Jung W. Suh which was release on 18 November 2013 and published by Newnes with total page 258 pages . This book available in PDF, EPUB and Kindle Format. 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 : Newnes
  • Release Date : 2013-11-18
  • Total pages : 258
  • ISBN : 0124079164
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Summary : 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 ...

Exam Prep for Accelerating MATLAB with GPU Computing

Exam Prep for  Accelerating MATLAB with GPU Computing
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2021-05-14
  • Total pages : 212
  • ISBN : 0124079164
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Summary : Read online Exam Prep for Accelerating MATLAB with GPU Computing written by , published by which was released on . Download full Exam Prep for Accelerating MATLAB with GPU Computing Books now! Available in PDF, ePub and Kindle....

GPU Programming in MATLAB

GPU Programming in MATLAB
  • Author : Nikolaos Ploskas,Nikolaos Samaras
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-08-25
  • Total pages : 318
  • ISBN : 0124079164
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Summary : GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for ...

Accelerating MATLAB Performance

Accelerating MATLAB Performance
  • Author : Yair M. Altman
  • Publisher : CRC Press
  • Release Date : 2014-12-11
  • Total pages : 785
  • ISBN : 0124079164
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Summary : The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. ...

Neural Networks with MATLAB

Neural Networks with MATLAB
  • Author : Marvin L.
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2016-10-23
  • Total pages : 418
  • ISBN : 0124079164
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Summary : Neural Network Toolbox provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. ...

Neural Network Architectures Examples Using Matlab

Neural Network Architectures Examples Using Matlab
  • Author : J. Smith
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-26
  • Total pages : 210
  • ISBN : 0124079164
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Summary : MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image ...

Deep Learning Using MATLAB Neural Network Applications

Deep Learning Using MATLAB  Neural Network Applications
  • Author : K. Taylor
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-16
  • Total pages : 334
  • ISBN : 0124079164
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Summary : Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data. Deep learning is part of a broader family of machine learning methods based on learning ...

Neural Networks Applications and Examples Using Matlab

Neural Networks  Applications and Examples Using Matlab
  • Author : J. Smith
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-24
  • Total pages : 342
  • ISBN : 0124079164
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Summary : MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image ...

Machine Learning With Neural Networks Using MATLAB

Machine Learning With Neural Networks Using MATLAB
  • Author : J. Smith
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-27
  • Total pages : 382
  • ISBN : 0124079164
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Summary : Machine Learning is a method used to devise complex models and algorithms that lend themselves to prediction; in commercial use, this is known as predictive analytics. These analytical models allow researchers, data scientists, engineers, and analysts to produce reliable, repeatable decisions and results" and uncover "hidden insights" through learning from ...

MATLAB Functions for Neural Networks Models

MATLAB Functions for Neural Networks Models
  • Author : Smith A.
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2016-11-23
  • Total pages : 470
  • ISBN : 0124079164
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Summary : The MATLAB Neural Network Toolbox provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature ...

Machine Learning and Neural Networks Examples with MATLAB

Machine Learning and Neural Networks  Examples with MATLAB
  • Author : C. Perez
  • Publisher : Independently Published
  • Release Date : 2019-04-03
  • Total pages : 382
  • ISBN : 0124079164
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Summary : MATLAB has the tool Deep Learning Toolbox (Neural Network Toolbox for versions before 18) that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, dynamic system modeling and control and most machine learning techniques. The toolbox includes ...

Big Data Analytics With Neural Networks Using Matlab

Big Data Analytics With Neural Networks Using Matlab
  • Author : J. Smith
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-26
  • Total pages : 322
  • ISBN : 0124079164
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Summary : Big data analytics is the process of collecting, organizing and analyzing large sets of data (called big data) to discover patterns and other useful information. Big data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most ...

Neural Networks Using Matlab Function Approximation and Regression

Neural Networks Using Matlab  Function Approximation and Regression
  • Author : K. Taylor
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-09
  • Total pages : 212
  • ISBN : 0124079164
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Summary : MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image ...

Segmentation with Matlab Clustering with Neural Networks

Segmentation with Matlab  Clustering with Neural Networks
  • Author : C. Perez
  • Publisher : Independently Published
  • Release Date : 2019-03-20
  • Total pages : 172
  • ISBN : 0124079164
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Summary : MATLAB has the tool Neural Network Toolbox or Deep Learning Tools that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.The toolbox includes convolutional neural network and autoencoder deep ...

Neural Networks Using Matlab Cluster Analysis and Classification

Neural Networks Using Matlab  Cluster Analysis and Classification
  • Author : K. Taylor
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-17
  • Total pages : 396
  • ISBN : 0124079164
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Summary : MATLAB has the tool Neural Network Toolbox that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control. The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image ...