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Author: Norihisa Suzuki
Publisher: MIT Press
ISBN: 9780262193221
Category : Computers
Languages : en
Pages : 534
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Book Description
Shared memory multiprocessors are becoming the dominant architecture for small-scale parallel computation. This book is the first to provide a coherent review of current research in shared memory multiprocessing in the United States and Japan. It focuses particularly on scalable architecture that will be able to support hundreds of microprocessors as well as on efficient and economical ways of connecting these fast microprocessors. The 20 contributions are divided into sections covering the experience to date with multiprocessors, cache coherency, software systems, and examples of scalable shared memory multiprocessors.
Author: Norihisa Suzuki
Publisher: MIT Press
ISBN: 9780262193221
Category : Computers
Languages : en
Pages : 534
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Book Description
Shared memory multiprocessors are becoming the dominant architecture for small-scale parallel computation. This book is the first to provide a coherent review of current research in shared memory multiprocessing in the United States and Japan. It focuses particularly on scalable architecture that will be able to support hundreds of microprocessors as well as on efficient and economical ways of connecting these fast microprocessors. The 20 contributions are divided into sections covering the experience to date with multiprocessors, cache coherency, software systems, and examples of scalable shared memory multiprocessors.
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: Maurice Herlihy
Publisher: Elsevier
ISBN: 0123977959
Category : Computers
Languages : en
Pages : 537
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Book Description
Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. - This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 - Learn the fundamentals of programming multiple threads accessing shared memory - Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems - Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience
Author: Igor Tartalja
Publisher: Wiley-IEEE Computer Society Press
ISBN:
Category : Computers
Languages : en
Pages : 368
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Book Description
The book illustrates state-of-the-art software solutions for cache coherence maintenance in shared-memory multiprocessors. It begins with a brief overview of the cache coherence problem and introduces software solutions to the problem. The text defines and details static and dynamic software schemes, techniques for modeling performance evaluation mechanisms, and performance evaluation studies.
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: 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: Michel Dubois
Publisher: Springer Science & Business Media
ISBN: 9780792392194
Category : Computers
Languages : en
Pages : 360
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Book Description
Mathematics of Computing -- Parallelism.
Author: Jelica Protic
Publisher: John Wiley & Sons
ISBN: 9780818677373
Category : Computers
Languages : en
Pages : 384
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Book Description
The papers present in this text survey both distributed shared memory (DSM) efforts and commercial DSM systems. The book discusses relevant issues that make the concept of DSM one of the most attractive approaches for building large-scale, high-performance multiprocessor systems. The authors provide a general introduction to the DSM field as well as a broad survey of the basic DSM concepts, mechanisms, design issues, and systems. The book concentrates on basic DSM algorithms, their enhancements, and their performance evaluation. In addition, it details implementations that employ DSM solutions at the software and the hardware level. This guide is a research and development reference that provides state-of-the art information that will be useful to architects, designers, and programmers of DSM systems.
Author: Geerd-R. Hoffmann
Publisher: Springer Science & Business Media
ISBN: 3642832482
Category : Science
Languages : en
Pages : 437
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Book Description
Numerical weather prediction on the one hand needs a very large number of floating point calculations, but on the other hand is very time-critical. Therefore, the largest computers available, i.e., the "supercomputers", have usually been acquired by the national meteorological services long before they were used in other fields of research or business. Since the available technology limits the speed of any single computer, parallel computations have become necessary to achieve further improvements in the number of results produced per time unit. This book collects the papers presented at two workshops held at ECMWF on the topic of parallel processing in meteorological models. It provides an insight into the state-of-the-art in using parallel processors operationally and allows extrapolation to other time-critical applications. It also shows trends in migrating to massive parallel systems in the near future.
Author: Enrico Gregori
Publisher: Springer
ISBN: 3540457453
Category : Computers
Languages : en
Pages : 366
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Book Description
This book constitutes the refereed proceedings of the two thematic workshops held jointly with Networking 2002: WEB Engineering and Peer-to-Peer C- puting. Networking 2002 was organized by the Italian National Research Council (CNR) and was sponsored by the IFIP working groups WG 6.2 (Network and Intern- work Architectures), WG 6.3 (Performance of Communication Systems), and WG 6.8 (Wireless Communications). The program of the conference covered ?ve days and included the main conference (three days), two tutorial days, and one day of thematic workshops. TheInternationalWorkshoponWebEngineeringwasdedicatedtothedisc- sionoftheprincipalissuesthatemergeinthedesignandimplementationoflar- scale, complex, Web-based systems. Scalability issues pose a number of ch- lenging problems to solve for both applications and the underlying web/network infrastructure. On one hand, web services and internet applications must take into account network performance and transport protocol design, to achieve - ceptable performance and robustness. On the other hand, emerging network and Web technologies are determined by the requirements of these applications. Fifteen papers were presented that illustrated the current state of the art in this area. In addition to the authors of these papers, the Workshop on Web Engine- ing was attended by about thirty participants, who contributed to the workshop by stimulating fruitful discussions at the end of each presentation. Thus, this workshop provided a excellent opportunity for researchers, from both industry and academia, to gather, exchange ideas, and discuss recent results in the dev- opment of Web-based systems and emerging Internet applications.
