Conquering Big Data with High Performance Computing

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

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 H...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Arora, Ritu (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Springer eBook Collection.
Subjects:
Database management.
Architecture, Computer.
Data structures (Computer science).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of 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.

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