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Conquering Big Data with High Performance Computing

  • Book
  • © 2016

Overview

Editors:
  1. Ritu Arora

    1. Texas Advanced Computing Center, Austin, USA

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  • Presents curated information on state-of-the-practice in conquering Big Data challenges by leveraging HPC/HTC
  • Covers the landscape of open-science datacenters & resources; very useful for those professionals who are currently stalled at the desktop-computing level
  • Provides an introduction to HPC/HTC and shows successful projects that have used HPC/HTC for conquering Big Data
  • Explains the legal and policy barriers to research using large datasets

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-viii
    Download chapter PDF

  2. An Introduction to Big Data, High Performance Computing, High-Throughput Computing, and Hadoop

    • Ritu Arora
    Pages 1-12

  3. Using High Performance Computing for Conquering Big Data

    • Antonio Gómez-Iglesias, Ritu Arora
    Pages 13-30

  4. Data Movement in Data-Intensive High Performance Computing

    • Pietro Cicotti, Sarp Oral, Gokcen Kestor, Roberto Gioiosa, Shawn Strande, Michela Taufer et al.
    Pages 31-59

  5. Using Managed High Performance Computing Systems for High-Throughput Computing

    • Lucas A. Wilson
    Pages 61-79

  6. Accelerating Big Data Processing on Modern HPC Clusters

    • Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat Islam, Dipti Shankar, Dhabaleswar K. (DK) Panda
    Pages 81-107

  7. dispel4py: Agility and Scalability for Data-Intensive Methods Using HPC

    • Rosa Filgueira, Malcolm P. Atkinson, Amrey Krause
    Pages 109-137

  8. Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters

    • Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu
    Pages 139-161

  9. Big Data Behind Big Data

    • Elizabeth Bautista, Cary Whitney, Thomas Davis
    Pages 163-189

  10. Empowering R with High Performance Computing Resources for Big Data Analytics

    • Weijia Xu, Ruizhu Huang, Hui Zhang, Yaakoub El-Khamra, David Walling
    Pages 191-217

  11. Big Data Techniques as a Solution to Theory Problems

    • Richard W. Evans, Kenneth L. Judd, Kramer Quist
    Pages 219-231

  12. High-Frequency Financial Statistics Through High-Performance Computing

    • Jian Zou, Hui Zhang
    Pages 233-252

  13. Large-Scale Multi-Modal Data Exploration with Human in the Loop

    • Guangchen Ruan, Hui Zhang
    Pages 253-268

  14. Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection

    • Ritu Arora, Jessica Trelogan, Trung Nguyen Ba
    Pages 269-286

  15. Big Data Processing in the eDiscovery Domain

    • Sukrit Sondhi, Ritu Arora
    Pages 287-307

  16. Databases and High Performance Computing

    • Ritu Arora, Sukrit Sondhi
    Pages 309-319

  17. Conquering Big Data Through the Usage of the Wrangler Supercomputer

    • Jorge Salazar
    Pages 321-329
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Keywords

About this book

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.


Editors and Affiliations

  • Texas Advanced Computing Center, Austin, USA

    Ritu Arora

About the editor

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Bibliographic Information

  • Book Title: Conquering Big Data with High Performance Computing

  • Editors: Ritu Arora

  • DOI: https://doi.org/10.1007/978-3-319-33742-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Hardcover ISBN: 978-3-319-33740-1Published: 26 September 2016

  • Softcover ISBN: 978-3-319-81589-3Published: 22 April 2018

  • eBook ISBN: 978-3-319-33742-5Published: 16 September 2016

  • Edition Number: 1

  • Number of Pages: VIII, 329

  • Number of Illustrations: 21 b/w illustrations, 59 illustrations in colour

  • Topics: Database Management, Computer System Implementation, Data Structures

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