Scalable Shared-Memory Multiprocessing PDF Download
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Author: Daniel E. Lenoski
Publisher: Elsevier
ISBN: 1483296016
Category : Computers
Languages : en
Pages : 364
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Book Description
Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.
Author: Daniel E. Lenoski
Publisher: Elsevier
ISBN: 1483296016
Category : Computers
Languages : en
Pages : 364
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Book Description
Dr. Lenoski and Dr. Weber have experience with leading-edge research and practical issues involved in implementing large-scale parallel systems. They were key contributors to the architecture and design of the DASH multiprocessor. Currently, they are involved with commercializing scalable shared-memory technology.
Author: David Julian
Publisher: Packt Publishing Ltd
ISBN: 1789539730
Category : Computers
Languages : en
Pages : 150
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Book Description
Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key FeaturesClear and concise explanationsGives important insights into deep learning modelsPractical demonstration of key conceptsBook Description PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text. By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease. What you will learnSet up the deep learning environment using the PyTorch libraryLearn to build a deep learning model for image classificationUse a convolutional neural network for transfer learningUnderstand to use PyTorch for natural language processingUse a recurrent neural network to classify textUnderstand how to optimize PyTorch in multiprocessor and distributed environmentsTrain, optimize, and deploy your neural networks for maximum accuracy and performanceLearn to deploy production-ready modelsWho this book is for Developers and Data Scientist familiar with Machine Learning but new to deep learning, or existing practitioners of deep learning who would like to use PyTorch to train their deep learning models will find this book to be useful. Having knowledge of Python programming will be an added advantage, while previous exposure to PyTorch is not needed.
Author: M. Sasikumar
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120350316
Category : Computers
Languages : en
Pages : 301
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Book Description
Written with a straightforward and student-centred approach, this extensively revised, updated and enlarged edition presents a thorough coverage of the various aspects of parallel processing including parallel processing architectures, programmability issues, data dependency analysis, shared memory programming, thread-based implementation, distributed computing, algorithms, parallel programming languages, debugging, parallelism paradigms, distributed databases as well as distributed operating systems. The book, now in its second edition, not only provides sufficient practical exposure to the programming issues but also enables its readers to make realistic attempts at writing parallel programs using easily available software tools. With all the latest information incorporated and several key pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering. It also caters to the students pursuing master of computer application. What’s New to the Second Edition • A new chapter named Using Parallelism Effectively has been added covering a case study of parallelising a sorting program, and introducing commonly used parallelism models. • Sections describing the map-reduce model, top-500.org initiative, Indian efforts in supercomputing, OpenMP system for shared memory programming, etc. have been added. • Numerous sections have been updated with current information. • Several questions have been incorporated in the chapter-end exercises to guide students from examination and practice points of view.
Author: Aquiles Carattino
Publisher:
ISBN: 9781716517686
Category :
Languages : en
Pages : 190
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Book Description
Python for the Lab is the first book covering how to develop instrumentation software. It is ideal for researchers willing to automatize their setups and bring their experiments to the next level. The book is the product of countless workshops at different universities, and a carefully design pedagogical strategy. With an easy to follow and task-oriented design, the book uncovers all the best practices in the field. It also shows how to design code for long-term maintainability, opening the doors of fruitful collaboration among researchers from different labs.
Author: RAMANA
Publisher: RAMANA
ISBN:
Category : Antiques & Collectibles
Languages : en
Pages : 3830
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Book Description
Here is a description for the book *"Python Mastery: A Complete Guide to Programming Excellence"*: Unlock your full potential as a programmer with *"Python Mastery: A Complete Guide to Programming Excellence"*. This comprehensive book is designed to guide you from the fundamentals of Python programming to advanced concepts and best practices. Through clear explanations and hands-on exercises, you'll gain a solid understanding of core topics such as data types, control structures, functions, and modules. Dive deeper into object-oriented programming, file handling, and libraries like NumPy and Pandas. Explore powerful techniques for debugging, testing, and optimizing your code. Whether you're a beginner or an experienced developer, this guide will help you achieve mastery in Python and elevate your programming skills to new heights.
Author: E. Garrison Walters
Publisher: Prentice Hall Professional
ISBN: 9780130194695
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
Perfect for anyone who needs a basic understanding of how computers work, this introductory guide gives friendly, accessible, up-to-date explanations of computer hardware, software, networks, and the Internet. Coverage also includes micro-processors, operating systems, programming languages, applications, and e-commerce.
Author:
Publisher: Academic Press
ISBN: 0080544800
Category : Computers
Languages : en
Pages : 553
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Book Description
As the computer industry moves into the 21st century, the long-running Advances in Computers is ready to tackle the challenges of the new century with insightful articles on new technology, just as it has since 1960 in chronicling the advances in computer technology from the last century. As the longest-running continuing series on computers, Advances in Computers presents those technologies that will affect the industry in the years to come. In this volume, the 53rd in the series, we present 8 relevant topics. The first three represent a common theme on distributed computing systems -using more than one processor to allow for parallel execution, and hence completion of a complex computing task in a minimal amount of time. The other 5 chapters describe other relevant advances from the late 1990s with an emphasis on software development, topics of vital importance to developers today- process improvement, measurement and legal liabilities. - Longest running series on computers - Contains eight insightful chapters on new technology - Gives comprehensive treatment of distributed systems - Shows how to evaluate measurements - Details how to evaluate software process improvement models - Examines how to expand e-commerce on the Web - Discusses legal liabilities in developing software—a must-read for developers
Author: Peter Sloot
Publisher: Springer Science & Business Media
ISBN: 9783540644439
Category : Computers
Languages : en
Pages : 1068
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Book Description
Proceedings -- Parallel Computing.
Author: Mark Friedman
Publisher: "O'Reilly Media, Inc."
ISBN: 9781565924666
Category : Computers
Languages : en
Pages : 724
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Book Description
For repairing performance loss or maximizing current potential, this guide aims to provide the information and conceptual framework that will enable readers to be performance experts. Includes information on processor performance, application profiling and hardware considerations.
Author: George Mozdzynski
Publisher: World Scientific
ISBN: 9814480274
Category : Computers
Languages : en
Pages : 323
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Book Description
Geosciences and, in particular, numerical weather prediction are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes every other year a workshop bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This volume provides an excellent overview of the latest achievements and plans for the use of new parallel techniques in the fields of meteorology, climatology and oceanography.
