Conquering Big Data with High Performance Computing

ISBN 10: 3319337408 / ISBN 13: 9783319337401

Edité par Springer, 2016

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Titre : Conquering Big Data with High Performance ...

Éditeur : Springer

Date d'édition : 2016

Reliure : Hardcover

Etat : Good

A propos de ce titre

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.

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.