high performance computing big data (178 resultados)

1st ed. 2016. 23.5 cm x 15.5 cm, 0 g. XIV, 522 p. Hardcover. Computer Communications and Networks. Sprache: Englisch.

257 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. CISM International Centre for Mechanical Sciences Ser., v.592. Sprache: Englisch.

235 mm x 155 mm, 0 g. XXII, 428 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Computer Communications and Networks. Sprache: Englisch.

XIV, 514 S. Broschur. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Communications in Computer and Information Science, 891. Sprache: Deutsch.

Gebundene Ausgabe. Condición: Sehr gut. Gebraucht - Sehr gut - ungelesen,als Mängelexemplar gekennzeichnet, mit leichten Mängeln an Schnitt oder Umschlag durch Lager- oder Transportschaden -Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 529 pp. Englisch.

Condición: New. pp. 272.

Hardcover. Condición: New. ISBN:9780262046855.

Condición: New. pp. 286.

Condición: As New. Unread book in perfect condition.

Condición: New.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent businesses and on big data analytics (BDA) in the healthcare sector; describes the network infrastructure requirements for effective transfer of big data, and the storage infrastructure requirements of applications which generate big data; examines real-time analytics solutions; introduces in-database processing and in-memory analytics techniques for data mining; discusses the use of mainframes for handling real-time big data and the latest types of data management systems for BDA; provides information on the use of cluster, grid and cloud computing systems for BDA; reviews the peer-to-peer techniques and tools and the common information visualization techniques, used in BDA.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Computer Architecture for High-Performance Computing and Big Data is a sophisticated guide that provides readers with a thorough understanding of the principles and practices of computer architecture for high-performance computing and big data. This book explores the complex relationships between data, algorithms, and computer architecture, highlighting the key challenges and opportunities of working with high-performance computing and big data. Through a series of in-depth chapters, readers will learn how to design and implement effective computer architectures, develop high-performance computing algorithms, and adapt their analytical skills to suit various computer architecture contexts. With its focus on technical detail and real-world examples, Computer Architecture for High-Performance Computing and Big Data is an essential resource for anyone looking to improve their computer architecture skills and drive high-performance computing and big data success. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides state-of-art information on high-accuracy scientific computing and its future prospects, as applicable to the broad areas of fluid mechanics and combustion, and across all speed regimes. Beginning with the concepts of space-time discretization and dispersion relation in numerical computing, the foundations are laid for the efficient solution of the Navier-Stokes equations, with special reference to prominent approaches such as LES, DES and DNS. The basis of high-accuracy computing is rooted in the concept of stability, dispersion and phase errors, which require the comprehensive analysis of discrete computing by rigorously applying error dynamics. In this context,high-order finite-difference and finite-volume methods are presented. Naturally, the coverage also includes fundamental notions of high-performance computing and advanced concepts on parallel computing, including their implementation in prospective hexascale computers. Moreover, the book seeks to raisethe bar beyond the pedagogical use of high-accuracy computing by addressing more complex physical scenarios, including turbulent combustion. Tools like proper orthogonal decomposition (POD), proper generalized decomposition(PGD), singular value decomposition (SVD), recursive POD, and high-order SVD in multi-parameter spaces are presented. Special attention is paid to bivariate and multivariate datasets in connection with various canonical flow and heat transfer cases. The book mainly addresses the needs of researchers and doctoral students in mechanical engineering, aerospace engineering, and all applied disciplines including applied mathematics, offering these readers a unique resource.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 532 | Sprache: Englisch | Produktart: Bücher.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. As data volumes continue to grow exponentially, the need for high-performance computing and big data analytics has become a pressing concern. A well-designed database is critical to unlocking the full potential of data-driven insights, but designing databases for high-performance computing and big data requires specialized skills and knowledge. This book provides a comprehensive guide to database design for high-performance computing and big data, covering the principles, techniques, and best practices for creating efficient, scalable, and reliable databases. It explores the importance of data modeling, indexing, and query optimization, and offers practical advice on how to implement high-performance database designs using cutting-edge technologies and tools. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. The increasing demand for big data processing has led to the development of high-performance computing systems, but it has also introduced new challenges in scalability and efficiency. 'Edge Computing for High-Performance Computing Systems for Big Data' provides a comprehensive guide to leveraging edge computing for high-performance computing systems. This book covers the latest advancements in edge computing, including its architecture, key components, and deployment strategies. It also explores the benefits of edge computing in high-performance computing systems, including reduced latency, improved scalability, and enhanced security. With its expert insights and real-world examples, 'Edge Computing for High-Performance Computing Systems for Big Data' is an essential resource for developers, engineers, and researchers working on edge computing projects. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Condición: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donât hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!

Condición: New. In.

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Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Docker Swarm for High Performance Computing Clusters and Big Data is a technical guide that explores the essential concepts and best practices for using Docker Swarm to deploy and manage high performance computing clusters and big data workloads. This book focuses on the key challenges and opportunities of using Docker Swarm for high performance computing, as well as the tools and techniques required to optimize performance, ensure security, and streamline deployment. By examining the intricacies of Docker Swarm, Docker Swarm for High Performance Computing Clusters and Big Data provides a clear understanding of how to unlock the full potential of Docker Swarm for high performance computing and big data applications. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. In today's big data landscape, high-performance scientific computing applications are crucial for making sense of complex data sets and driving business insights. Edge Computing for High-Performance Scientific Computing Applications for Big Data presents a comprehensive guide to leveraging edge computing for high-performance scientific computing. This book explores the latest advancements in edge computing, including real-time data processing, distributed systems, and cloud computing. With its focus on practical implementation and real-world examples, Edge Computing for High-Performance Scientific Computing Applications for Big Data is an essential resource for data scientists and analysts seeking to elevate their scientific computing capabilities and drive business growth. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Linux System Administration for High-Performance Computing and Big Data is a cutting-edge guide that provides a thorough understanding of the technical requirements for managing high-performance computing and big data systems. By examining the intricacies of Linux system administration, this book offers a comprehensive framework for designing and implementing high-performance data storage solutions. Through a series of in-depth case studies, it reveals the ways in which Linux can be leveraged to optimize data processing and analysis, ultimately leading to faster insights and more informed decision-making. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2018-07-01 Pages: 217 Publisher: Mechanical Industry Press This book uses the MPI standard to introduce high-performance computing in data science to help readers understand the parallel programming knowledge in distributed storage models. The book is divided into two parts. some (Chapters 1~6) introduce high-performance computing based on the message passing interface. including: blocking and non-blocking.