Conquering Big Data with High Performance Computing
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Conquering Big Data with High Performance Computing

Conquering Big Data with High Performance Computing

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About the Book

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.
About the Author: Ritu Arora works as a consultant and researcher at the Texas Advanced Computing Center (TACC). She also teaches in the Department of Statistics and Data Sciences at the University of Texas at Austin. The key areas of her interest are High Performance Computing (HPC), Big Data, generative programming, fault-tolerance, and health informatics. Through her role in the Extreme Science and Engineering Discovery Environment (XSEDE), she is actively engaged in lowering the adoption barriers to HPC. Ritu received her Ph.D. in computer and information sciences from the University of Alabama at Birmingham in December 2010.


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Product Details
  • ISBN-13: 9783319337401
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: 1st ed. 2016
  • Language: English
  • Returnable: Y
  • Spine Width: 21 mm
  • Width: 156 mm
  • ISBN-10: 3319337408
  • Publisher Date: 26 Sep 2016
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 329
  • Series Title: English
  • Weight: 702 gr


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