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Synopsis
This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
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À propos de l?auteur
Ritu Arora works as a consultant and researcher at the Texas Advanced Computing Center (TACC). She also teaches in the Department of Statistics and Data Sciences at the University of Texas at Austin. The key areas of her interest are High Performance Computing (HPC), Big Data, generative programming, fault-tolerance, and health informatics. Through her role in the Extreme Science and Engineering Discovery Environment (XSEDE), she is actively engaged in lowering the adoption barriers to HPC. Ritu received her Ph.D. in computer and information sciences from the University of Alabama at Birmingham in December 2010.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2018
- ISBN 10 331981589X
- ISBN 13 9783319815893
- ReliureBroché
- Langueanglais
- Nombre de pages340
- ÉditeurArora Ritu
- Coordonnées du fabricantnon disponible
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Conquering Big Data with High Performance Computing
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents curated information on state-of-the-practice in conquering Big Data challenges by leveraging HPC/HTCCovers the landscape of open-science datacenters & resources very useful for those professionals who are current. N° de réf. du vendeur 448756395
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing. Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop. Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable. N° de réf. du vendeur 9783319815893
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Conquering Big Data with High Performance Computing
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ISBN 10 : 331981589X
ISBN 13 : 9783319815893
Neuf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing. Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop. Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable. 340 pp. Englisch. N° de réf. du vendeur 9783319815893
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