• Home
  • Accelerating MATLAB with GPU Computing

Accelerating MATLAB with GPU Computing

Accelerating MATLAB with GPU Computing
  • Author : Jung W. Suh
  • Publsiher : Morgan Kaufmann
  • Release : 26 November 2013
  • ISBN : 9780124080805
  • Pages : 248 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKAccelerating MATLAB with GPU Computing

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 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 : 26 November 2013
GET THIS BOOKAccelerating MATLAB with GPU Computing

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

Book Accelerating MATLAB with GPU Computing PDF Download/ Read Online


Accelerating MATLAB with GPU Computing

Accelerating MATLAB with GPU Computing
  • Author : Jung W. Suh,Youngmin Kim
  • Publisher : Newnes
  • Release : 18 November 2013
GET THIS BOOKAccelerating MATLAB with GPU Computing

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

Book Accelerating MATLAB with GPU Computing PDF Download/ Read Online


GPU Programming in MATLAB

GPU Programming in MATLAB
  • Author : Nikolaos Ploskas,Nikolaos Samaras
  • Publisher : Morgan Kaufmann
  • Release : 25 August 2016
GET THIS BOOKGPU Programming in MATLAB

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

Book GPU Programming in MATLAB PDF Download/ Read Online


Gpu Programming in Matlab

Gpu Programming in Matlab
  • Author : Nikolaos Ploskas,Nikolaos Samaras
  • Publisher : Morgan Kaufmann Publishers
  • Release : 22 August 2016
GET THIS BOOKGpu Programming in Matlab

"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 specialize knowledge of GPU programming. Following sections cover built-in GPU-enabled features of MATLAB, including options to leverage GPUs

Book Gpu Programming in Matlab PDF Download/ Read Online


Accelerating MATLAB Performance

Accelerating MATLAB Performance
  • Author : Yair M. Altman
  • Publisher : CRC Press
  • Release : 11 December 2014
GET THIS BOOKAccelerating MATLAB Performance

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

Book Accelerating MATLAB Performance PDF Download/ Read Online


GPU Computing Gems

GPU Computing Gems
  • Author : Wen-mei W. Hwu
  • Publisher : Elsevier
  • Release : 19 September 2021
GET THIS BOOKGPU Computing Gems

"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"--

Book GPU Computing Gems PDF Download/ Read Online


Accelerating MATLAB Performance

Accelerating MATLAB Performance
  • Author : Yair M. Altman
  • Publisher : CRC Press
  • Release : 11 December 2014
GET THIS BOOKAccelerating MATLAB Performance

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

Book Accelerating MATLAB Performance PDF Download/ Read Online


Recent Progress in Parallel and Distributed Computing

Recent Progress in Parallel and Distributed Computing
  • Author : Wen-Jyi Hwang
  • Publisher : BoD – Books on Demand
  • Release : 19 July 2017
GET THIS BOOKRecent Progress in Parallel and Distributed Computing

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

Book Recent Progress in Parallel and Distributed Computing PDF Download/ Read Online


Parallel Computing Technologies

Parallel Computing Technologies
  • Author : Victor Malyshkin
  • Publisher : Springer
  • Release : 24 September 2013
GET THIS BOOKParallel Computing Technologies

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 the applications of parallel computer systems High level parallel programming languages and systems, methods and tools for parallel solution of large-scale problems, languages, environments and software tools supporting parallel processing,

Book Parallel Computing Technologies PDF Download/ Read Online


OpenCL Programming by Example

OpenCL Programming by Example
  • Author : Ravishekhar Banger,Koushik Bhattacharyya
  • Publisher : Packt Publishing Ltd
  • Release : 23 December 2013
GET THIS BOOKOpenCL Programming by Example

This book follows an example-driven, simplified, and practical approach to using OpenCL for general purpose GPU programming. If you are a beginner in parallel programming and would like to quickly accelerate your algorithms using OpenCL, this book is perfect for you! You will find the diverse topics and case studies in this book interesting and informative. You will only require a good knowledge of C programming for this book, and an understanding of parallel implementations will be useful, but not

Book OpenCL Programming by Example PDF Download/ Read Online


Self-Organizing Migrating Algorithm

Self-Organizing Migrating Algorithm
  • Author : Donald Davendra,Ivan Zelinka
  • Publisher : Springer
  • Release : 04 February 2016
GET THIS BOOKSelf-Organizing Migrating Algorithm

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.

Book Self-Organizing Migrating Algorithm PDF Download/ Read Online


Business Process Management Workshops

Business Process Management Workshops
  • Author : Manfred Reichert,Hajo A. Reijers
  • Publisher : Springer
  • Release : 25 July 2016
GET THIS BOOKBusiness Process Management Workshops

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

Book Business Process Management Workshops PDF Download/ Read Online


Hands-On GPU Programming with CUDA

Hands-On GPU Programming with CUDA
  • Author : Jaegeun Han,Bharatkumar Sharma
  • Publisher : Anonim
  • Release : 27 September 2019
GET THIS BOOKHands-On GPU Programming with CUDA

Explore different GPU programming methods using libraries and directives, such as OpenACC, with extension to languages such as C, C++, and Python Key Features Learn parallel programming principles and practices and performance analysis in GPU computing Get to grips with distributed multi GPU programming and other approaches to GPU programming Understand how GPU acceleration in deep learning models can improve their performance Book Description Compute Unified Device Architecture (CUDA) is NVIDIA's GPU computing platform and application programming interface. It's designed

Book Hands-On GPU Programming with CUDA PDF Download/ Read Online


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 : 14 April 2015
GET THIS BOOKHigh performance computing for solving large sparse systems. Optical diffraction tomography as a case of study

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

Book High performance computing for solving large sparse systems. Optical diffraction tomography as a case of study PDF Download/ Read Online


CUDA Application Design and Development

CUDA Application Design and Development
  • Author : Rob Farber
  • Publisher : Elsevier
  • Release : 19 September 2021
GET THIS BOOKCUDA Application Design and Development

Machine generated contents note: 1. How to think in CUDA 2. Tools to build, debug and profile 3. The GPU performance envelope 4. The CUDA memory subsystems 5. Exploiting the CUDA execution grid 6. MultiGPU applications and scaling 7. Numerical CUDA, libraries and high-level language bindings 8. Mixing CUDA with rendering 9. High Performance Machine Learning 10. Scientific Visualization 11. Multimedia with OpenCV 12. Ultra Low-power Devices: Tegra.

Book CUDA Application Design and Development PDF Download/ Read Online