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 Publishers
  • Release Date : 2016-08-22
  • 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. ...

Recent Progress in Parallel and Distributed Computing

Recent Progress in Parallel and Distributed Computing
  • Author : Wen-Jyi Hwang
  • Publisher : BoD – Books on Demand
  • Release Date : 2017-07-19
  • Total pages : 124
  • ISBN : 9780124080805
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Summary : Parallel and distributed computing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as engineering, management, natural sciences, and social sciences. This book reports state-of-the-art topics and advances in this emerging field. Completely up-to-date, aspects ...

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 ...

High Performance Computing and the Discrete Element Model

High Performance Computing and the Discrete Element Model
  • Author : Gao-Feng Zhao
  • Publisher : Elsevier
  • Release Date : 2015-10-31
  • Total pages : 164
  • ISBN : 9780124080805
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Summary : This book addresses the high performance computing of the Discrete Element Model (DEM). It is a comprehensive presentation of parallel implementation of the DEM on three popular parallel computing platforms; the multi-core PC, the GPU computer, and the cluster supercomputer. Featuring accompanying MatLab source this book helps you implement the ...

GPU Computing Gems Jade Edition

GPU Computing Gems Jade Edition
  • Author : Anonim
  • Publisher : Elsevier
  • Release Date : 2011-11-02
  • Total pages : 560
  • ISBN : 9780124080805
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Summary : GPU Computing Gems, Jade Edition, offers hands-on, proven techniques for general purpose GPU programming based on the successful application experiences of leading researchers and developers. One of few resources available that distills the best practices of the community of CUDA programmers, this second edition contains 100% new material of interest across ...

Parallel Computing Technologies

Parallel Computing Technologies
  • Author : Victor Malyshkin
  • Publisher : Springer
  • Release Date : 2013-09-24
  • Total pages : 444
  • ISBN : 9780124080805
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Summary : This book constitutes the proceedings of the 12th International Conference on Parallel Computing Technologies, PaCT 2013, held in St. Petersburg, Russia, during September 30-October 4, 2013. The 41 full papers presented together with 2 invited papers were carefully reviewed and selected from 83 submissions. The papers are organized in topical sections on all technological aspects of ...

High performance computing for solving large sparse systems Optical diffraction tomography as a case of study

High performance computing for solving large sparse systems  Optical diffraction tomography as a case of study
  • Author : Gloria Ortega López
  • Publisher : Universidad Almería
  • Release Date : 2015-04-14
  • Total pages : 182
  • ISBN : 9780124080805
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Summary : This thesis, entitled €High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study€ investigates the computational issues related to the resolution of linear systems of equations which come from the discretization of physical models described by means of Partial Differential Equations (PDEs). These physical ...

Self Organizing Migrating Algorithm

Self Organizing Migrating Algorithm
  • Author : Donald Davendra,Ivan Zelinka
  • Publisher : Springer
  • Release Date : 2016-02-04
  • Total pages : 289
  • ISBN : 9780124080805
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Summary : This book brings together the current state of-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novel population-based evolutionary algorithm, modeled on the predator-prey relationship, by its leading practitioners. As the first ever book on SOMA, this book is geared towards graduate students, academics and researchers, who are looking ...

Business Process Management Workshops

Business Process Management Workshops
  • Author : Manfred Reichert,Hajo A. Reijers
  • Publisher : Springer
  • Release Date : 2016-07-25
  • Total pages : 596
  • ISBN : 9780124080805
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Summary : This book constitutes the refereed proceedings of ten international workshops held in Innsbruck, Austria, in conjunction with the 13th International Conference on Business Process Management, BPM 2015, in September 2015. The seven workshops comprised Adaptive Case Management and other Non-workflow Approaches to BPM (AdaptiveCM 2015), Business Process Intelligence (BPI 2015), Social and Human Aspects ...

Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes

Handbook Of Financial Econometrics  Mathematics  Statistics  And Machine Learning  In 4 Volumes
  • Author : Cheng-few Lee,John C Lee
  • Publisher : World Scientific
  • Release Date : 2020-07-30
  • Total pages : 5056
  • ISBN : 9780124080805
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Summary : This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of ...

Hands On GPU Accelerated Computer Vision with OpenCV and CUDA

Hands On GPU Accelerated Computer Vision with OpenCV and CUDA
  • Author : Bhaumik Vaidya
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-09-26
  • Total pages : 380
  • ISBN : 9780124080805
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Summary : Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Key Features Explore examples to leverage the GPU processing power with OpenCV and CUDA Enhance the performance of algorithms on embedded hardware platforms Discover C++ ...

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 ...