Conquering Big Data with High Performance Computing / edited by Ritu Arora.

Format:

Book

Contributor:

Arora, Ritu, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Database management.

Computer architecture.

Data structures (Computer science).

Database Management.

Computer System Implementation.

Data Structures.

Local Subjects:

Database Management.

Computer System Implementation.

Data Structures.

Physical Description:

1 online resource (VIII, 329 pages) : 80 illustrations, 59 illustrations in color

Edition:

First edition 2016.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2016.

System Details:

text file PDF

Summary:

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.

Contents:

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 Performance Computing

Conquering Big Data Through the Support of the Wrangler Supercomputer.

Other Format:

Printed edition:

ISBN:

978-3-319-33742-5

9783319337425

Access Restriction:

Restricted for use by site license.