Editors:
- 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)
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Front Matter
About this book
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
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Texas Advanced Computing Center, Austin, USA
Ritu Arora
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