Conquering Big Data with High Performance Computing
Published on 26. September 2016
Book
Hardback
VIII, 329 pages
978-3-319-33740-1 (ISBN)
Description
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.
More details
Edition
1st ed. 2016
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
21 s/w Abbildungen, 59 farbige Abbildungen
VIII, 329 p. 80 illus., 59 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 24 mm
Weight
676 gr
ISBN-13
978-3-319-33740-1 (9783319337401)
DOI
10.1007/978-3-319-33742-5
Schweitzer Classification
Other editions
Additional editions
Book
04/2018
Springer
€181.89
Shipment within 10-15 days
E-Book
09/2016
Springer
€171.19
Available for download
Person
false
Content
An Introduction to Big Data, High Performance Computing, High Throughput Computing, and Hadoop.- Using High Performance Computing for Conquering Big Data.- Data Movement in Data-Intensive High Performance Computing.- Using Managed High Performance Computing Systems for High Throughput Computing.- Accelerating Big Data Processing on Modern HPC Clusters.- dispel4py: An Agile Framework for Data-Intensive Methods Using HPC.- Big Data Performance Analysis Tool for HPC Applications and Scientific Clusters.- Big Data behind Big Data.- Empowering R with High Performance Computing Resources for Big Data Analytics.- Big Data Techniques as a Solution to Theory Problems.- High-Frequency Financial Statistics through High Performance Computing.- Large-scale Multi-Modal Data Exploration with Human in the Loop.- Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection.- Big Data Processing in the eDiscovery Domain.- Databases and High PerformanceComputing.- Conquering Big Data Through the Support of the Wrangler Supercomputer.