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...
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...
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...
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...
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...
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...
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...
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