Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks

This book takes a fresh, student-oriented approach to teaching the material covered in the senior- and first-year graduate-level matrix structural analysis course. Unlike traditional texts for this course that are difficult to read, Kassimali takes special care to provide understandable and exceptionally clear explanations of concepts, step-by-step procedures for analysis, flowcharts, and interesting and modern examples, producing a technically and mathematically accurate presentation of the subject. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Exploring the design and implementation of assemblers and loaders, this volume describes such important concepts as absolute and relocatable object files, assembler features, the listing file, the properties of assemblers and loaders, and three special assembler types.

Offering thorough coverage of atomic layer deposition (ALD), this book moves from basic chemistry of ALD and modeling of processes to examine ALD in memory, logic devices and machines. Reviews history, operating principles and ALD processes for each device.

It is often said that the practice of management is in crisis, and that managers are now finding it harder than ever to develop strategies which withstand the shocks of the marketplace. This illuminating book cuts through these conflicting issues to show how organizational communication plays a vital role in confronting uncertainty. Arguing that many managers fail to adequately consider the communication consequences of the decision making process and its impact on organizational effectiveness, Hargie and Tourish present here numerous organizational communication insights, and show how they reveal a way through these dilemmas. Based on cutting-edge research findings and case studies, this book features contributions from the UK, USA, Canada, New Zealand and Norway, bringing multiple perspectives to this topical subject. The result is a comprehensive guide to organizational communication useful for managers, academics and students.