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2019-08-09 05:00:19
斯坦福大学并行计算课件第一辑,讲解很翔实,一共49页
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Concepts of Parallel Computing下载
斯坦福大学并行计算课件第一辑,讲解很翔实,一共49页 相关下载链接://download.csdn.net/download/realdaniel/4602561?utm_source=bbsseo
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Concepts
of
Parallel
Com
put
ing
斯坦福大学并行计算课件第一辑,讲解很翔实,一共49页
CUDA范例精解通用GPU编程
CUDA范例精解通用GPU编程CUDA by Example addresses the heart of the software development challenge by leverag
ing
one of the most innovative and powerful solutions to the problem of programm
ing
the massively
parallel
accelerators in recent years. This book introduces you to programm
ing
in CUDA C by provid
ing
examples and insight into the process of construct
ing
and effectively us
ing
NVIDIA GPUs. It presents introductory
concepts
of
parallel
com
put
ing
from simple examples to debugg
ing
(both logical and performance), as well as covers advanced topics and issues related to us
ing
and build
ing
many applications. Throughout the book, programm
ing
examples reinforce the
concepts
that have been presented. The book is required read
ing
for anyone work
ing
with accelerator-based
com
put
ing
systems. It explores
parallel
com
put
ing
in depth and provides an approach to many problems that may be encountered. It is especially useful for application developers, numerical library writers, and students and teachers of
parallel
com
put
ing
. I have enjoyed and learned from this book, and I feel confident that you will as well. Jack Dongarra University Dist
ing
uished Professor, University of Tennessee Dist
ing
uished Research Staff Member, Oak Ridge National Laboratory
Python
Parallel
Programm
ing
Cookbook
Master efficient
parallel
programm
ing
to build powerful applications us
ing
Python About This Book Design and implement efficient
parallel
software Master new programm
ing
techniques to address and solve
com
plex programm
ing
problems Explore the world of
parallel
programm
ing
with this book, which is a go-to resource for different kinds of
parallel
com
put
ing
tasks in Python, us
ing
examples and topics covered in great depth Who This Book Is For Python
Parallel
Programm
ing
Cookbook is intended for software developers who are well versed with Python and want to use
parallel
programm
ing
techniques to write powerful and efficient code. This book will help you master the basics and the advanced of
parallel
com
put
ing
. What You Will Learn Synchronize multiple threads and processes to manage
parallel
tasks Implement message pass
ing
com
munication between processes to build
parallel
applications Program your own GPU cards to address
com
plex problems Manage
com
put
ing
entities to execute distributed
com
putational tasks Write efficient programs by adopt
ing
the event-driven programm
ing
model Explore the cloud technology with DJango and Google App Engine Apply
parallel
programm
ing
techniques that can lead to performance improvements In Detail
Parallel
programm
ing
techniques are required for a developer to get the best use of all the
com
putational resources available today and to build efficient software systems. From multi-core to GPU systems up to the distributed architectures, the high
com
putation of programs throughout requires the use of programm
ing
tools and software libraries. Because of this, it is be
com
ing
increas
ing
ly important to know what the
parallel
programm
ing
techniques are. Python is
com
monly used as even non-experts can easily deal with its
concepts
. This book will teach you
parallel
programm
ing
techniques us
ing
examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Start
ing
with introduc
ing
you to the world of
parallel
com
put
ing
, it moves on to cover the fundamentals in Python. This is followed by explor
ing
the thread-based
parallel
ism model us
ing
the Python thread
ing
module by synchroniz
ing
threads and us
ing
locks, mutex, semaphores queues, GIL, and the thread pool. Next you will be taught about process-based
parallel
ism where you will synchronize processes us
ing
message pass
ing
along with learn
ing
about the performance of MPI Python Modules. You will then go on to learn the asynchronous
parallel
programm
ing
model us
ing
the Python asyncio module along with handl
ing
exceptions. Mov
ing
on, you will discover distributed
com
put
ing
with Python, and learn how to install a broker, use Celery Python Module, and create a worker. You will also understand the StarCluster framework, Pycsp, Scoop, and Disco modules in Python. Further on, you will learn GPU programm
ing
with Python us
ing
the PyCUDA module along with evaluat
ing
performance limitations. Next you will get acquainted with the cloud
com
put
ing
concepts
in Python, us
ing
Google App Engine (GAE), and build
ing
your first application with GAE. Lastly, you will learn about grid
com
put
ing
concepts
in Python and us
ing
PyGlobus toolkit, GFTP and GASS COPY to transfer files, and service monitor
ing
in PyGlobus. Style and approach A step-by-step guide to
parallel
programm
ing
us
ing
Python, with recipes ac
com
panied by one or more programm
ing
examples. It is a practically oriented book and has all the necessary underly
ing
parallel
com
put
ing
concepts
. Table of Contents Chapter 1: Gett
ing
Started with
Parallel
Com
put
ing
and Python Chapter 2: Thread-based
Parallel
ism Chapter 3: Process-based
Parallel
ism Chapter 4: Asynchronous Programm
ing
Chapter 5: Distributed Python Chapter 6: GPU Programm
ing
with Python
Parallel
Programm
ing
with Python
Paperback: 107 pages Publisher: Packt Publish
ing
- ebooks Account (June 25, 2014) Language: English Develop efficient
parallel
systems us
ing
the robust Python environment Overview Demonstrates the
concepts
of Python
parallel
programm
ing
Boosts your Python
com
put
ing
capabilities Contains easy-to-understand explanations and plenty of examples In Detail Start
ing
with the basics of
parallel
programm
ing
, you will proceed to learn about how to build
parallel
algorithms and their implementation. You will then gain the expertise to evaluate problem domains, identify if a particular problem can be
parallel
ized, and how to use the Thread
ing
and Multiprocessor modules in Python. The Python
Parallel
(PP) module, which is another mechanism for
parallel
programm
ing
, is covered in depth to help you optimize the usage of PP. You will also delve into us
ing
Celery to perform distributed tasks efficiently and easily. Furthermore, you will learn about asynchronous I/O us
ing
the asyncio module. Finally, by the end of this book you will acquire an in-depth understand
ing
about what the Python language has to offer in terms of built-in and external modules for an effective implementation of
Parallel
Programm
ing
. This is a definitive guide that will teach you everyth
ing
you need to know to develop and maintain high-performance
parallel
com
put
ing
systems us
ing
the feature-rich Python. What you will learn from this book Explore techniques to
parallel
ize problems Integrate the
Parallel
Python module to implement Python code Execute
parallel
solutions on simple problems Achieve
com
munication between processes us
ing
Pipe and Queue Use Celery Distributed Task Queue Implement asynchronous I/O us
ing
the Python asyncio module Create thread-safe structures Approach A fast, easy-to-follow and clear tutorial to help you develop
Parallel
com
put
ing
systems us
ing
Python. Along with explain
ing
the fundamentals, the book will also introduce you to slightly advanced
concepts
and will help you in implement
ing
these techniques in the real world. Who this book is written for If you are an experienced Python programmer and are will
ing
to utilize the available
com
put
ing
resources by
parallel
iz
ing
applications in a simple way, then this book is for you. You are required to have a basic knowledge of Python development to get the most of this book.
Invasive
Com
put
ing
for Mapp
ing
Parallel
Programs to Many-Core Architectures
通过模型理论介绍、建模步骤流程图、结合权威文献模型选择等实现,零计量、Stata基础,照样做好计量实证分析。还赠送Eviews操作高清视频哟! Invasive
Com
put
ing
for Mapp
ing
Parallel
Programs to Many-Core Architectures (
Com
puter Architecture and Design Methodologies) By 作者: Andreas Weichslgartner – Stefan Wildermann – Michael Glaß – Jürgen Teich ISBN-10 书号: 9811073554 ISBN-13 书号: 9789811073557 Edition 版本: 1st ed. 2018 出版日期: 2017-12-30 pages 页数: (178) Spr
ing
er英文原版超清 This book provides an overview of and essential insights on invasive
com
put
ing
. Pursu
ing
a
com
prehensive approach, it addresses proper
concepts
, invasive language constructs, and the principles of invasive hardware. The main focus is on the important topic of how to map task-
parallel
applications to future multi-core architectures includ
ing
1,000 or more processor units. A special focus today is the question of how applications can be mapped onto such architectures while not only tak
ing
into account functional correctness, but also non-functional execution properties such as execution times and security properties. The book provides extensive experimental evaluations, investigat
ing
the benefits of apply
ing
invasive
com
put
ing
and hybrid application mapp
ing
to give guarantees on non-functional properties such as tim
ing
, energy, and security. The techniques in this book are presented in a step-by-step manner, supported by examples and figures. All proposed ideas for provid
ing
guarantees on performance, energy consumption, and security are enabled by us
ing
the concept of invasive
com
put
ing
and the exclusive usage of resources. Cover Front Matter 1.Introduction 2.Invasive
Com
put
ing
3.Fundamentals 4.Self-embedd
ing
5.Hybrid Application Mapp
ing
6.Hybrid Mapp
ing
for Increased Security 7.Conclusions and Future Work Back Matter
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