GPU Programming in MATLAB
Read or download book entitled GPU Programming in MATLAB written by Nikolaos Ploskas and published by Morgan Kaufmann in PDF, EPUB and Kindle Format. Click Get This Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like. We cannot guarantee that GPU Programming in MATLAB book is available in the library.
- Author : Nikolaos Ploskas
- Publisher : Morgan Kaufmann
- Release : 25 August 2016
- ISBN : 9780128051337
- Page : 318 pages
- Rating : 4.5/5 from 103 voters
Download GPU Programming in MATLAB in PDF, Epub and Kindle
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
GPU Programming in MATLAB
- Author : Nikolaos Ploskas,Nikolaos Samaras
- Publisher : Morgan Kaufmann
- Release Date : 2016-08-25
- ISBN : 9780128051337
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
Accelerating MATLAB with GPU Computing
- Author : Jung W. Suh,Youngmin Kim
- Publisher : Newnes
- Release Date : 2013-11-18
- ISBN : 9780124079168
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 Performance
- Author : Yair M. Altman
- Publisher : CRC Press
- Release Date : 2014-12-11
- ISBN : 9781482211306
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
Recent Progress in Parallel and Distributed Computing
- Author : Wen-Jyi Hwang
- Publisher : BoD – Books on Demand
- Release Date : 2017-07-19
- ISBN : 9789535133155
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
Proceedings of 2013 Chinese Intelligent Automation Conference
- Author : Zengqi Sun,Zhidong Deng
- Publisher : Springer Science & Business Media
- Release Date : 2013-07-10
- ISBN : 9783642384608
Proceedings of the 2013 Chinese Intelligent Automation Conference presents selected research papers from the CIAC’13, held in Yangzhou, China. The topics include e.g. adaptive control, fuzzy control, neural network based control, knowledge based control, hybrid intelligent control, learning control, evolutionary mechanism based control, multi-sensor integration, failure diagnosis, and reconfigurable control. Engineers and researchers from academia, industry, and government can gain an inside view of new solutions combining ideas from multiple disciplines in the field of intelligent automation. Zengqi Sun and
Accelerating MATLAB Performance
- Author : Yair M. Altman
- Publisher : CRC Press
- Release Date : 2014-12-11
- ISBN : 9781482211290
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
GPU Computing Gems Jade Edition
- Author : Anonim
- Publisher : Elsevier
- Release Date : 2011-11-02
- ISBN : 9780123859648
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
The Elements of MATLAB Style
- Author : Richard K. Johnson
- Publisher : Cambridge University Press
- Release Date : 2010-12-31
- ISBN : 9781139496407
The Elements of MATLAB Style is a guide for both new and experienced MATLAB programmers. It provides a comprehensive collection of standards and guidelines for creating solid MATLAB code that will be easy to understand, enhance, and maintain. It is written for both individuals and those working in teams in which consistency is critical. This is the only book devoted to MATLAB style and best programming practices, focusing on how MATLAB code can be written in order to maximize its
CUDA Fortran for Scientists and Engineers
- Author : Gregory Ruetsch,Massimiliano Fatica
- Publisher : Elsevier
- Release Date : 2013-09-11
- ISBN : 9780124169722
CUDA Fortran for Scientists and Engineers shows how high-performance application developers can leverage the power of GPUs using Fortran, the familiar language of scientific computing and supercomputer performance benchmarking. The authors presume no prior parallel computing experience, and cover the basics along with best practices for efficient GPU computing using CUDA Fortran. To help you add CUDA Fortran to existing Fortran codes, the book explains how to understand the target GPU architecture, identify computationally intensive parts of the code, and
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
- ISBN : 9789811202407
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 econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in
Geometric Modelling, Numerical Simulation, and Optimization:
- Author : Geir Hasle,Knut-Andreas Lie,Ewald Quak
- Publisher : Springer Science & Business Media
- Release Date : 2007-06-10
- ISBN : 9783540687832
This edited volume addresses the importance of mathematics for industry and society by presenting highlights from contract research at the Department of Applied Mathematics at SINTEF, the largest independent research organization in Scandinavia. Examples range from computer-aided geometric design, via general purpose computing on graphics cards, to reservoir simulation for enhanced oil recovery. Contributions are written in a tutorial style.
Frontiers in Fractional Calculus
- Author : Sachin Bhalekar
- Publisher : Bentham Science Publishers
- Release Date : 2018-03-21
- ISBN : 9781681085999
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
Understanding LTE with MATLAB
- Author : Houman Zarrinkoub
- Publisher : John Wiley & Sons
- Release Date : 2014-01-28
- ISBN : 9781118443453
An introduction to technical details related to the PhysicalLayer of the LTE standard with MATLAB® The LTE (Long Term Evolution) and LTE-Advanced are among thelatest mobile communications standards, designed to realize thedream of a truly global, fast, all-IP-based, secure broadbandmobile access technology. This book examines the Physical Layer (PHY) of the LTE standardsby incorporating three conceptual elements: an overview of thetheory behind key enabling technologies; a concise discussionregarding standard specifications; and the MATLAB® algorithmsneeded to simulate the standard. The use
Computer Vision in Control Systems-4
- Author : Margarita N. Favorskaya,Lakhmi C. Jain
- Publisher : Springer
- Release Date : 2017-10-25
- ISBN : 9783319679945
The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing a number of real-life applications including the identification of handwritten texts, watermarking techniques, simultaneous localization and mapping for mobile robots, motion control systems for mobile robots, analysis of indoor human activity, facial image quality assessment, android device controlling, processing medical images, clinical decision-making and foot
High-Performance Medical Image Processing
- Author : Sanjay Saxena,Sudip Paul
- Publisher : CRC Press
- Release Date : 2022-07-07
- ISBN : 9781000410372
The processing of medical images in a reasonable timeframe and with high definition is very challenging. This volume helps to meet that challenge by presenting a thorough overview of medical imaging modalities, its processing, high-performance computing, and the need to embed parallelism in medical image processing techniques to achieve efficient and fast results. With contributions from researchers from prestigious laboratories and educational institutions, High-Performance Medical Image Processing provides important information on medical image processing techniques, parallel computing techniques, and embedding