Accelerating MATLAB with GPU Computing

Written By Jung W. Suh
Accelerating MATLAB with GPU Computing
  • Publsiher : Morgan Kaufmann
  • Release : 26 November 2013
  • ISBN : 9780124080805
  • Pages : 248 pages
  • Rating : 4/5 from 21 reviews
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Read or download book entitled Accelerating MATLAB with GPU Computing written by Jung W. Suh which was release on 26 November 2013, this book published by Morgan Kaufmann. Available in PDF, EPUB and Kindle Format. Book excerpt: 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 Date : 2013-11-26
  • Total pages : 248
  • ISBN : 9780124080805
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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 ...

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 : 9780124080805
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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 ...

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 : 9780124080805
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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 : 9780124080805
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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. ...

Accelerating Population Balance Model Based Particulate Process Simulations Via Parallel Computing

Accelerating Population Balance Model   Based Particulate Process Simulations Via Parallel Computing
  • Author : Anuj Varghese Prakash
  • Publisher : Unknown
  • Release Date : 2013
  • Total pages : 74
  • ISBN : 9780124080805
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Summary : The use of Population Balance Models (PBM) for simulating dynamics of particulate systems are inevitably limited at some point by the demands they place on computational resources. PBMs are widely used to describe the time evolutions and distributions of many industrial particulate processes, and its efficient and quick simulation would ...

Near Deterministic Signal Processing Using GPU DPDK and MKL

Near Deterministic Signal Processing Using GPU  DPDK  and MKL
  • Author : Roya Alizadeh
  • Publisher : Unknown
  • Release Date : 2015
  • Total pages : 96
  • ISBN : 9780124080805
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Summary : Download or read online Near Deterministic Signal Processing Using GPU DPDK and MKL written by Roya Alizadeh, published by which was released on 2015. Get Near Deterministic Signal Processing Using GPU DPDK and MKL Books now! Available in PDF, ePub and Kindle....

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 : 9780124080805
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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 ...

Neural Networks Using Matlab

Neural Networks Using Matlab
  • Author : K. Taylor
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-12
  • Total pages : 294
  • ISBN : 9780124080805
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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 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 : 9780124080805
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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 : 9780124080805
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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 Time Series Using Matlab

Neural Networks Time Series Using Matlab
  • Author : K. Taylor
  • Publisher : Createspace Independent Publishing Platform
  • Release Date : 2017-02-19
  • Total pages : 284
  • ISBN : 9780124080805
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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 : 9780124080805
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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 ...

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 : 9780124080805
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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 ...

Big Data Analytics

Big Data Analytics
  • Author : C Perez
  • Publisher : Independently Published
  • Release Date : 2019-04-04
  • Total pages : 390
  • ISBN : 9780124080805
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Summary : Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today's technology, it's possible to analyze your data and get answers from it almost immediately - an effort that's slower and less efficient with more traditional business intelligence solutions.MATLAB has the tool ...

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 : 9780124080805
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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 ...