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Conquering Big Data with High Performance Computing

  • Ritu Arora

Table of contents

  1. Front Matter
    Pages i-viii
  2. Antonio Gómez-Iglesias, Ritu Arora
    Pages 13-30
  3. Pietro Cicotti, Sarp Oral, Gokcen Kestor, Roberto Gioiosa, Shawn Strande, Michela Taufer et al.
    Pages 31-59
  4. Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat Islam, Dipti Shankar, Dhabaleswar K. (DK) Panda
    Pages 81-107
  5. Rosa Filgueira, Malcolm P. Atkinson, Amrey Krause
    Pages 109-137
  6. Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu
    Pages 139-161
  7. Elizabeth Bautista, Cary Whitney, Thomas Davis
    Pages 163-189
  8. Weijia Xu, Ruizhu Huang, Hui Zhang, Yaakoub El-Khamra, David Walling
    Pages 191-217
  9. Richard W. Evans, Kenneth L. Judd, Kramer Quist
    Pages 219-231
  10. Guangchen Ruan, Hui Zhang
    Pages 253-268
  11. Sukrit Sondhi, Ritu Arora
    Pages 287-307
  12. Ritu Arora, Sukrit Sondhi
    Pages 309-319

About this book

Introduction

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.

Keywords

Big data High performance computing High throughput Computing Data-Intensive computing E-Discovery Parallel R Nuclear fusion Hadoop Data movement Big Data life cycle Data curation Image processing

Editors and affiliations

  • Ritu Arora
    • 1
  1. 1.Texas Advanced Computing CenterAustinUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-33742-5
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-33740-1
  • Online ISBN 978-3-319-33742-5
  • Buy this book on publisher's site