logo资料库

Python Parallel Programming Cookbook 无水印pdf.pdf

发布时间：2022-05-30 发布人：admin 分类：说明书 资料大小：2.36M 资料格式：pdf 举报 版权申诉
第1页 / 共286页
第2页 / 共286页
第3页 / 共286页
第4页 / 共286页
第5页 / 共286页
第6页 / 共286页
第7页 / 共286页
第8页 / 共286页
资料共286页，剩余部分请下载后查看
    Cover
    Copyright
    Credits
    About the Author
    About the Reviewers
    www.PacktPub.com
    Table of Contents
    Preface
    1: Getting Started with Parallel Computing and Python
    Introduction
    The parallel computing memory architecture
    Memory organization
    Parallel programming models
    How to design a parallel program
    How to evaluate the performance of a parallel program
    Introducing Python
    Python in a parallel world
    Introducing processes and threads
    Start working with processes in Python
    Start working with threads in Python
    2: Thread-based Parallelism
    Introduction
    Using the Python threading module
    How to define a thread
    How to determine the current thread
    How to use a thread in a subclass
    Thread synchronization with Lock and RLock
    Thread synchronization with RLock
    Thread synchronization with semaphores
    Thread synchronization with a condition
    Threads synchronization with an event
    Using the with statement
    Thread communication using a queue
    Evaluating the performance of multithread applications
    3: Process-based Parallelism
    Introduction
    How to spawn a process
    How to name a process
    How to run a process in the background
    How to kill a process
    How to use process in a subclass
    How to exchange objects between processes
    How to synchronize processes
    How to manage a state between processes
    How to use a process pool
    Using the mpi4py Python module
    Point-to-point communication
    Avoiding deadlock problems
    Collective communication using broadcast
    Collective communication using scatter
    Collective communication using gather
    Collective communication using Alltoall
    The reduction operation
    How to optimize the communication
    4: Asynchronous Programming
    Introduction
    Using the concurrent.futures Python modules
    Event loop management with Asyncio
    Handling coroutines with Asyncio
    Task manipulation with Asyncio
    Dealing with Asyncio and Futures
    5: Distributed Python
    Introduction
    Using Celery to distribute tasks
    How to create a task with Celery
    Scientific computing with SCOOP
    Handling map functions with SCOOP
    Remote Method Invocation with Pyro4
    Chaining objects with Pyro4
    Developing a client-server application with Pyro4
    Communicating sequential processes with PyCSP
    Using MapReduce with Disco
    A remote procedure call with RPyC
    6: GPU Programming with Python
    Introduction
    Using the PyCUDA module
    How to build a PyCUDA application
    Understanding the PyCuda memory model with matrix manipulation
    Kernel invocations with GPUArray
    Evaluating element-wise expressions with PyCUDA
    The MapReduce operation with PyCuda
    GPU programming with NumbaPro
    Using GPU-accelerated libraries with NumbaPro
    Using the PyOpenCL module
    How to build a PyOpenCL application
    Evaluating element-wise expressions with PyOpenCl
    Testing your GPU application with PyOpenCL
    Index
    Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python Giancarlo Zaccone BIRMINGHAM - MUMBAI
    Python Parallel Programming Cookbook Copyright © 2015 Packt Publishing All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book. Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information. First published: August 2015 Production reference: 1210815 Published by Packt Publishing Ltd. Livery Place 35 Livery Street Birmingham B3 2PB, UK. ISBN 978-1-78528-958-3 www.packtpub.com
    Credits Author Giancarlo Zaccone Project Coordinator Judie Jose Reviewers Aditya Avinash Ravi Chityala Mike Galloy Ludovic Gasc Commissioning Editor Sarah Crofton Acquisition Editor Meeta Rajani Proofreader Safis Editing Indexer Mariammal Chettiyar Graphics Sheetal Aute Disha Haria Jason Monterio Abhinash Sahu Content Development Editor Production Coordinator Rashmi Suvarna Conidon Miranda Technical Editor Mrunmayee Patil Copy Editor Neha Vyas Cover Work Conidon Miranda
    About the Author Giancarlo Zaccone has more than 10 years of experience in managing research projects, both in scientific and industrial domains. He worked as a researcher at the National Research Council (CNR), where he was involved in a few parallel numerical computing and scientific visualization projects. He currently works as a software engineer at a consulting company, developing and maintaining software systems for space and defense applications. Giancarlo holds a master's degree in physics from the University of Naples Federico II and has completed a second-level postgraduate master's program in scientific computing from the Sapienza University of Rome. You can know more about him at https://it.linkedin.com/in/giancarlozaccone.
    About the Reviewers Aditya Avinash is a graduate student who focuses on computer graphics and GPUs. His areas of interest are compilers, drivers, physically based rendering, and real-time rendering. His current focus is on making a contribution to MESA (the open source graphics driver stack for Linux), where he will implement OpenGL extensions for the AMD backend. This is something that he is really excited about. He also likes writing compilers to translate high- level abstraction code into GPU code. He has developed Urutu, which gives GPUs thread- level parallelism with Python. For this, NVIDIA funded him with a couple of Tesla K40 GPUs. Currently, he is working on RockChuck, translating the Python code (written using data parallel abstraction) into GPU/CPU code, depending on the available backend. This project was started after he reviewed the opinions of a lot of Python programmers who wanted data parallel abstraction for Python and GPUs. He has a computer engineering background, where he designed hardware and software to fit certain applications (ASIC). From this, he gained experience of how to use FPGAs and HDLs. Apart from this, he mainly programs using Python and C++. In C++, he uses OpenGL, CUDA, OpenCL, and other multicore programming APIs. Since he is a student, most of his work is not affiliated with any institution or person. Ravi Chityala is a senior engineer at Elekta Inc. He has more than 12 years of experience in image processing and scientific computing. He is also a part time instructor at the University of California, Santa Cruz Extension, San Jose, CA, where he teaches advanced Python to programmers. He began using Python as a scripting tool and fell in love with the language's simplicity, power, and expressiveness. He now uses it for web development, scientific prototyping and computing, and he uses it as a glue to automate the process. He combined his experience in image processing and his love for Python and coauthored the book Image Acquisition and Processing using Python, published by CRC Press.
    Mike Galloy is a software developer who focuses on high-performance computing and visualization in scientific programming. He works mostly on IDL, but occasionally uses C, CUDA, and Python. He currently works for the National Center for Atmospheric Research (NCAR) at the Mauna Loa Solar Observatory. Previously, he worked for Tech-X Corporation, where he was the main developer for GPULib, a library of IDL bindings for GPU-accelerated computation routines. He is the creator and main developer of the open source projects, IDLdoc, mgunit, and rIDL, as well as the author of the book Modern IDL. Ludovic Gasc is a senior software developer and engineer at Eyepea and ALLOcloud, a highly renowned open source VoIP and unified communications company in Europe. Over the last 5 years, he has developed redundant distributed systems for the telecom sector that are based on Python, AsyncIO, PostgreSQL, and Redis. You can contact him on his blog at http://www.gmludo.eu. He is also the creator of the blog API-Hour: Write efficient network daemons (HTTP, SSH) with ease. For more information, visit http://www.api-hour.io.
    www.PacktPub.com Support files, eBooks, discount offers, and more For support files and downloads related to your book, please visit www.PacktPub.com. Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.PacktPub.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at service@packtpub.com for more details. At www.PacktPub.com, you can also read a collection of free technical articles, sign up for a range of free newsletters and receive exclusive discounts and offers on Packt books and eBooks. TM https://www2.packtpub.com/books/subscription/packtlib Do you need instant solutions to your IT questions? PacktLib is Packt's online digital book library. Here, you can search, access, and read Packt's entire library of books. Why Subscribe? f Fully searchable across every book published by Packt f Copy and paste, print, and bookmark content f On demand and accessible via a web browser Free Access for Packt account holders If you have an account with Packt at www.PacktPub.com, you can use this to access PacktLib today and view 9 entirely free books. Simply use your login credentials for immediate access.
    分享到：
    赞 收藏

    相关推荐

    资料库

    开发技术

    共收录19306份资料，累计14个分类，关注成员有19位，主要包括：Actionscript,Javascript,PHP,VB,Perl,Delphi,Python,C#,C,Java,C++,Web开发,硬件开发,其它

    热门标签

    Actionscript Javascript PHP VB Perl Delphi Python C# C Java C++ Web开发 硬件开发 其它

    最新资料