Erik Cuevas, Karla Avila, Miguel Islas Toski, Héctor Escobar. — Morgan Kaufmann, 2025. — 336 p. — ISBN-13: 978-0-443-24004-1. Agent-Based Models with MatLAB introduces Agent-Based Modeling (ABM), one of the most important methodologies for complex systems modeling. The book explores computational implementations and accompanying MatLAB software code as a means of inspiring...
Morgan Kaufmann, 2024. — 474 p. — ISBN-13 978-0-443-33068-1. Truly Concurrent Process Algebra with Localities introduces localities into truly concurrent process algebras. The book explores all aspects of localities in truly concurrent process algebras, such as Calculus for True Concurrency (CTC), which is a generalization of CCS for true concurrency, Algebra of Parallelism for...
Morgan Kaufmann/Elsevier, 2024. — 158 p. — ISBN: 978-0-443-24814-6. Theory of Structured Parallel Programming is a comprehensive guide to structured parallel programming corresponding to traditional structured sequential programming. The book provides readers with comprehensive coverage of theoretical foundations of structured parallel programming, including analyses of...
Morgan Kaufmann/Elsevier, 2024. — 648 р. — ISBN: 978-0-443-21515-5. Handbook of Truly Concurrent Process Algebra provides readers with a detailed and in-depth explanation of the algebra used for concurrent computing. This complete handbook is divided into five Parts: Algebraic Theory for Reversible Computing, Probabilistic Process Algebra for True Concurrency, Actors – A...
Apress Media LLC., 2023. — 510 p. — ISBN-13: 978-1-4842-9218-1. Начало макетирования: физические вычисления и основные строительные блоки компьютеров Using fun, hands-on projects, learn what a circuit is and how it works! This book uses a common tool in electronics, the breadboard, to build your way to an understanding of circuits, circuit components, and the basics of...
Independently published, 2021. — 314 p. — ISBN 978-8464177437. This text is an introduction to the complex and emerging world of the Parallel and Distributed Computing. It helps you understand the principles and acquire the practical skills of MPI programming using the C/FORTAN programming language. My aim is for you to gain sufficient knowledge and experience to perform simple...
Manning Publications, 2021. — 704 p. — ISBN 978-1617296468. Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours―or even days―of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and...
Springer, 2020. — 278 p. — ISBN: 978-981-15-7683-6 (eBook). XcalableMP is a directive-based parallel programming language based on Fortran and C, supporting a Partitioned Global Address Space (PGAS) model for distributed memory parallel systems. This open access book presents XcalableMP language from its programming model and basic concept to the experience and performance of...
2nd Edition. — The MIT Press, 2018. — 272 p. — ISBN: 978-0262037662. The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models....
Springer, 2019. — 482 p. — ISBN: 978-981-13-6624-6 (eBook). Few works are as timely and critical to the advancement of high performance computing than is this new up-to-date treatise on leading-edge directions of operating systems. It is a first-hand product of many of the leaders in this rapidly evolving field and possibly the most comprehensive. This new and important book...
Arcler Education Inc, 2019. — 290 p. — ISBN: 1774072270, 978-1774072271. Parallel Programming talks about a type of computation "parallel programming" and the parallel algorithm designed by technique "PCAM". It includes the description of parallel computer systems and parallelization of web compatibility tests in software development. It provides the reader with the...
CRC Press, 2017. — 340 p. The next decade of computationally intense computing lies with more powerful multi/manycore nodes where processors share a large memory space. These nodes will be the building block for systems that range from a single node workstation up to systems approaching the exaflop regime. The node itself will consist of 10’s to 100’s of MIMD (multiple...
Packt Publishing, 2017. — 532 p. — ISBN: 978-1-78588-993-6. Create scalable machine learning applications to power a modern data-driven business using Spark 2.x This book will teach you about popular machine learning algorithms and their implementation. You will learn how various machine learning concepts are implemented in the context of Spark ML. You will start by installing...
Packt, 2016. — 476 p. — ASIN: B01HGR1RF6 Get the most up-to-date book on the market that focuses on design, engineering, and scalable solutions in machine learning with Spark 2.0.0 Use Spark's machine learning library in a big data environment You will learn how to develop high-value applications at scale with ease and a develop a personalized design Who This Book Is For This...
Wiley, 2017. — 528 p. — ISBN13: 9780470936900. Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for...
Chapman and Hall/CRC, 2016. — 236 p. — (Chapman & Hall/CRC Computational Science). — ISBN10: 1498727891. — ISBN13: 978-1498727891. Designed for introductory parallel computing courses at the advanced undergraduate or beginning graduate level, Elements of Parallel Computing presents the fundamental concepts of parallel computing not from the point of view of hardware, but from a...
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