Accelerating Matlab With Gpu Computing

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Accelerating MATLAB with GPU Computing

Jung W. Suh,Youngmin Kim
Accelerating MATLAB with GPU Computing Book PDF

Author : Jung W. Suh,Youngmin Kim
Publisher : Newnes
Page : 259 pages
File Size : 53,9 Mb
Release : 2013-11-18
Category : Computers
ISBN : 9780124079168

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Accelerating MATLAB with GPU Computing by Jung W. Suh,Youngmin Kim Pdf

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 Performance

Yair M. Altman
Accelerating MATLAB Performance Book PDF

Author : Yair M. Altman
Publisher : CRC Press
Page : 785 pages
File Size : 49,8 Mb
Release : 2014-12-11
Category : Computers
ISBN : 9781482211306

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Accelerating MATLAB Performance by Yair M. Altman Pdf

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. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB. Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB’s memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance. Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily. Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.

GPU Programming in MATLAB

Nikolaos Ploskas,Nikolaos Samaras
GPU Programming in MATLAB Book PDF

Author : Nikolaos Ploskas,Nikolaos Samaras
Publisher : Morgan Kaufmann
Page : 318 pages
File Size : 42,8 Mb
Release : 2016-08-25
Category : Computers
ISBN : 9780128051337

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GPU Programming in MATLAB by Nikolaos Ploskas,Nikolaos Samaras Pdf

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 GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development. Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language Presents case studies illustrating key concepts across multiple fields Includes source code, sample datasets, and lecture slides

Recent Progress in Parallel and Distributed Computing

Wen-Jyi Hwang
Recent Progress in Parallel and Distributed Computing Book PDF

Author : Wen-Jyi Hwang
Publisher : BoD – Books on Demand
Page : 126 pages
File Size : 41,5 Mb
Release : 2017-07-19
Category : Computers
ISBN : 9789535133155

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Recent Progress in Parallel and Distributed Computing by Wen-Jyi Hwang Pdf

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 it examines include the following: 1) Social networks; 2) Smart grids; 3) Graphic processing unit computation; 4) Distributed software development tools; 5) Analytic hierarchy process and the analytic network process

GPU Computing Gems Jade Edition

Wen-mei Hwu
GPU Computing Gems Jade Edition Book PDF

Author : Wen-mei Hwu
Publisher : Elsevier
Page : 562 pages
File Size : 55,7 Mb
Release : 2011-09-28
Category : Computers
ISBN : 9780123859631

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GPU Computing Gems Jade Edition by Wen-mei Hwu Pdf

"Since the introduction of CUDA in 2007, more than 100 million computers with CUDA capable GPUs have been shipped to end users. GPU computing application developers can now expect their application to have a mass market. With the introduction of OpenCL in 2010, researchers can now expect to develop GPU applications that can run on hardware from multiple vendors"--

Self-Organizing Migrating Algorithm

Donald Davendra,Ivan Zelinka
Self Organizing Migrating Algorithm Book PDF

Author : Donald Davendra,Ivan Zelinka
Publisher : Springer
Page : 289 pages
File Size : 44,7 Mb
Release : 2016-02-04
Category : Technology & Engineering
ISBN : 9783319281612

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Self-Organizing Migrating Algorithm by Donald Davendra,Ivan Zelinka Pdf

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 for a good optimization algorithm for their applications. This book presents the methodology of SOMA, covering both the real and discrete domains, and its various implementations in different research areas. The easy-to-follow and implement methodology used in the book will make it easier for a reader to implement, modify and utilize SOMA.

Emerging Computing Techniques in Engineering

Matthew N. O. Sadiku
Emerging Computing Techniques in Engineering Book PDF

Author : Matthew N. O. Sadiku
Publisher : AuthorHouse
Page : 409 pages
File Size : 49,8 Mb
Release : 2022-11-17
Category : Education
ISBN : 9781665569163

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Emerging Computing Techniques in Engineering by Matthew N. O. Sadiku Pdf

The book is divided into three volumes to cover all computing topics. This is the first volume and it has 23 chapters. It focuses on general computing techniques such as cloud computing, grid computing, pervasive computing, optical computing, web computing, parallel computing, distributed computing, high-performance computing, GPU computing, exascale & extreme computing, in-memory computing, embedded computing, quantum computing, and green computing

Business Process Management Workshops

Manfred Reichert,Hajo A. Reijers
Business Process Management Workshops Book PDF

Author : Manfred Reichert,Hajo A. Reijers
Publisher : Springer
Page : 596 pages
File Size : 44,6 Mb
Release : 2016-07-25
Category : Computers
ISBN : 9783319428871

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Business Process Management Workshops by Manfred Reichert,Hajo A. Reijers Pdf

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 of Business Process Management (BPMS2 2015), Data- and Artifact-centric BPM (DAB 2015), Decision Mining and Modeling for Business Processes (DeMiMoP 2015), Process Engineering (IWPE 2015), and Theory and Applications of Process Visualization (TaProViz 2015). The 42 revised papers presented were carefully reviewed and selected from 104 submissions. In addition, four short papers and one keynote (from TAProViz) are also included in this book.

High Performance Computing and the Discrete Element Model

Gao-Feng Zhao
High Performance Computing and the Discrete Element Model Book PDF

Author : Gao-Feng Zhao
Publisher : Elsevier
Page : 164 pages
File Size : 49,7 Mb
Release : 2015-10-31
Category : Technology & Engineering
ISBN : 9780081008096

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High Performance Computing and the Discrete Element Model by Gao-Feng Zhao Pdf

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 DEM model for use with high performing technology, for particular implementation of the dynamic failure of solids, granular flow and stress wave propagation through solids. Features both Pre-processor, Solver, and Post-processor for the DEM Covers the parallel implementation of DEM on the cluster, multi-core PC, GPU PC Full of examples of dynamic fracturing, granular flow and stress wave propagation using high performance DEM Source codes and data files available for hands-on practice

CUDA for Engineers

Duane Storti,Mete Yurtoglu
CUDA for Engineers Book PDF

Author : Duane Storti,Mete Yurtoglu
Publisher : Addison-Wesley Professional
Page : 739 pages
File Size : 53,7 Mb
Release : 2015-11-02
Category : Computers
ISBN : 9780134177557

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CUDA for Engineers by Duane Storti,Mete Yurtoglu Pdf

CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago. The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you’ll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms. Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPU-based or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it. Coverage includes Preparing your computer to run CUDA programs Understanding CUDA’s parallelism model and C extensions Transferring data between CPU and GPU Managing timing, profiling, error handling, and debugging Creating 2D grids Interoperating with OpenGL to provide real-time user interactivity Performing basic simulations with differential equations Using stencils to manage related computations across threads Exploiting CUDA’s shared memory capability to enhance performance Interacting with 3D data: slicing, volume rendering, and ray casting Using CUDA libraries Finding more CUDA resources and code Realistic example applications include Visualizing functions in 2D and 3D Solving differential equations while changing initial or boundary conditions Viewing/processing images or image stacks Computing inner products and centroids Solving systems of linear algebraic equations Monte-Carlo computations

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

Gloria Ortega López
High performance computing for solving large sparse systems Optical diffraction tomography as a case of study Book PDF

Author : Gloria Ortega López
Publisher : Universidad Almería
Page : 182 pages
File Size : 50,7 Mb
Release : 2015-04-14
Category : Electronic
ISBN : 9788416027583

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High performance computing for solving large sparse systems. Optical diffraction tomography as a case of study by Gloria Ortega López Pdf

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 models are conceived for the description of the space-temporary behavior of some physical phenomena f(x, y, z, t) in terms of their variations (partial derivative) with respect to the dependent variables of the phenomena. There is a wide variety of discretization methods for PDEs. Two of the most well-known methods are the Finite Difference Method (FDM) and the Finite Element Method (FEM). Both methods result in an algebraic description of the model that can be translated into the approach of a linear system of equations of type (Ax = b), where A is a sparse matrix (a high percentage of zero elements) whose size depends on the required accuracy of the modeled phenomena. This thesis begins with the algebraic description of the model associated with the physical phenomena, and the work herein has been focused on the design of techniques and computational models that allow the resolution of these linear systems of equations. The main interest of this study is specially focused on models which require a high level of discretization and usually generate sparse matrices, A, which have a highly sparse structure and large size. Literature characterizes these types of problems by their high demanding computational requirements (because of their fine degree of discretization) and the sparsity of the matrices involved, suggesting that these kinds of problems can only be solved using High Performance Computing techniques and architectures. One of the main goals of this thesis is the research of the possible alternatives which allow the implementation of routines to solve large and sparse linear systems of equations using High Performance Computing (HPC). The use of massively parallel platforms (GPUs) allows the acceleration of these routines, because they have several advantages for vectorial computation schemes. On the other hand, the use of distributed memory platforms allows the resolution of problems defined by matrices of enormous size. Finally, the combination of both techniques, distributed computation and multi-GPUs, will allow faster resolution of interesting problems in which large and sparse matrices are involved. In this line, one of the goals of this thesis is to supply the scientific community with implementations based on multi-GPU clusters to solve sparse linear systems of equations, which are the key in many scientific computations. The second part of this thesis is focused on a real physical problem of Optical Diffractional Tomography (ODT) based on holographic information. ODT is a non-damaging technique which allows the extraction of the shapes of objects with high accuracy. Therefore, this technique is very suitable to the in vivo study of real specimens, microorganisms, etc., and it also makes the investigation of their dynamics possible. A preliminary physical model based on a bidimensional reconstruction of the seeding particle distribution in fluids was proposed by J. Lobera and J.M. Coupland. However, its high computational cost (in both memory requirements and runtime) made compulsory the use of HPC techniques to extend the implementation to a three dimensional model. In the second part of this thesis, the implementation and validation of this physical model for the case of three dimensional reconstructions is carried out. In such implementation, the resolution of large and sparse linear systems of equations is required. Thus, some of the algebraic routines developed in the first part of the thesis have been used to implement computational strategies capable of solving the problem of 3D reconstruction based on ODT.

Frontiers in Fractional Calculus

Sachin Bhalekar
Frontiers in Fractional Calculus Book PDF

Author : Sachin Bhalekar
Publisher : Bentham Science Publishers
Page : 381 pages
File Size : 54,5 Mb
Release : 2018-03-21
Category : Mathematics
ISBN : 9781681085999

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Frontiers in Fractional Calculus by Sachin Bhalekar Pdf

This book brings together eleven topics on different aspects of fractional calculus in a single volume. It provides readers the basic knowledge of fractional calculus and introduces advanced topics and applications. The information in the book is presented in four parts: 1. Fractional Diffusion Equations: (i) solutions of fractional diffusion equations using wavelet methods, (ii) the maximum principle for time fractional diffusion equations, (iii) nonlinear sub-diffusion equations. 2. Mathematical Analysis: (i) shifted Jacobi polynomials for solving and identifying coupled fractional delay differential equations, (ii) the monotone iteration principle in the theory of Hadamard fractional delay differential equations, (iii) dynamics of fractional order modified Bhalekar-Gejji System, (iv) Grunwald-Letnikov derivatives. 3. Computational Techniques: GPU computing of special mathematical functions used in fractional calculus. 4. Reviews: (i) the popular iterative method NIM, (ii) fractional derivative with non-singular kernels, (iii) some open problems in fractional order nonlinear system This is a useful reference for researchers and graduate level mathematics students seeking knowledge about of fractional calculus and applied mathematics.

Advances in Computational Intelligence

Joan Cabestany,Ignacio Rojas,Gonzalo Joya
Advances in Computational Intelligence Book PDF

Author : Joan Cabestany,Ignacio Rojas,Gonzalo Joya
Publisher : Springer
Page : 601 pages
File Size : 55,8 Mb
Release : 2011-05-30
Category : Computers
ISBN : 9783642215018

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Advances in Computational Intelligence by Joan Cabestany,Ignacio Rojas,Gonzalo Joya Pdf

This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The first volume includes 69 papers organized in topical sections on mathematical and theoretical methods in computational intelligence; learning and adaptation; bio-inspired systems and neuro-engineering; hybrid intelligent systems; applications of computational intelligence; new applications of brain-computer interfaces; optimization algorithms in graphic processing units; computing languages with bio-inspired devices and multi-agent systems; computational intelligence in multimedia processing; and biologically plausible spiking neural processing.

GPU Computing Gems Jade Edition

Anonim
GPU Computing Gems Jade Edition Book PDF

Author : Anonim
Publisher : Elsevier
Page : 561 pages
File Size : 42,5 Mb
Release : 2011-11-02
Category : Computers
ISBN : 9780123859648

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GPU Computing Gems Jade Edition by Anonim Pdf

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 industry, including finance, medicine, imaging, engineering, gaming, environmental science, and green computing. It covers new tools and frameworks for productive GPU computing application development and provides immediate benefit to researchers developing improved programming environments for GPUs. Divided into five sections, this book explains how GPU execution is achieved with algorithm implementation techniques and approaches to data structure layout. More specifically, it considers three general requirements: high level of parallelism, coherent memory access by threads within warps, and coherent control flow within warps. Chapters explore topics such as accelerating database searches; how to leverage the Fermi GPU architecture to further accelerate prefix operations; and GPU implementation of hash tables. There are also discussions on the state of GPU computing in interactive physics and artificial intelligence; programming tools and techniques for GPU computing; and the edge and node parallelism approach for computing graph centrality metrics. In addition, the book proposes an alternative approach that balances computation regardless of node degree variance. Software engineers, programmers, hardware engineers, and advanced students will find this book extremely usefull. For useful source codes discussed throughout the book, the editors invite readers to the following website: ..." This second volume of GPU Computing Gems offers 100% new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, green computing, and more Covers new tools and frameworks for productive GPU computing application development and offers immediate benefit to researchers developing improved programming environments for GPUs Even more hands-on, proven techniques demonstrating how general purpose GPU computing is changing scientific research Distills the best practices of the community of CUDA programmers; each chapter provides insights and ideas as well as 'hands on' skills applicable to a variety of fields

Computer Vision, Imaging and Computer Graphics - Theory and Applications

Gabriela Csurka,Martin Kraus,Robert S. Laramee,Paul Richard,José Braz
Computer Vision Imaging and Computer Graphics Theory and Applications Book PDF

Author : Gabriela Csurka,Martin Kraus,Robert S. Laramee,Paul Richard,José Braz
Publisher : Springer
Page : 459 pages
File Size : 45,5 Mb
Release : 2013-05-14
Category : Computers
ISBN : 9783642382413

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Computer Vision, Imaging and Computer Graphics - Theory and Applications by Gabriela Csurka,Martin Kraus,Robert S. Laramee,Paul Richard,José Braz Pdf

This book constitutes the refereed proceedings of the International Conference, VISIGRAPP 2012, the Joint Conference on Computer Vision Theory and Applications (VISAPP), on Computer Graphics Theory and Applications (GRAPP), and on Information Visualization Theory and Applications (IVAPP), held in Rome, Italy, in February 2012. The 28 revised full papers presented together with one invited paper were carefully reviewed and selected from 483 submissions. The papers are organized in topical sections on computer graphics theory and applications; information visualization theory and applications; computer vision theory and applications.