Conquering Big Data with High Performance Computing Front Cover

Conquering Big Data with High Performance Computing

  • Length: 329 pages
  • Edition: 1st ed. 2016
  • Publisher:
  • Publication Date: 2016-09-17
  • ISBN-10: 3319337408
  • ISBN-13: 9783319337401
  • Sales Rank: #5623641 (See Top 100 Books)
Description

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.

Table of Contents

Chapter 1 An Introduction to Big Data, High Performance Computing, High-Throughput Computing, and Hadoop
Chapter 2 Using High Performance Computing for Conquering Big Data
Chapter 3 Data Movement in Data-Intensive High Performance Computing
Chapter 4 Using Managed High Performance Computing Systems for High-Throughput Computing
Chapter 5 Accelerating Big Data Processing on Modern HPC Clusters
Chapter 6 dispel4py: Agility and Scalability for Data-Intensive Methods Using HPC
Chapter 7 Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters
Chapter 8 Big Data Behind Big Data
Chapter 9 Empowering R with High Performance Computing Resources for Big Data Analytics
Chapter 10 Big Data Techniques as a Solution to Theory Problems
Chapter 11 High-Frequency Financial Statistics Through High-Performance Computing
Chapter 12 Large-Scale Multi-Modal Data Exploration with Human in the Loop
Chapter 13 Using High Performance Computing for Detecting Duplicate, Similar and Related Images in a Large Data Collection
Chapter 14 Big Data Processing in the eDiscovery Domain
Chapter 15 Databases and High Performance Computing
Chapter 16 Conquering Big Data Through the Usage of the Wrangler Supercomputer

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