Conquering Big Data with High Performance Computing

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 H...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Arora, Ritu (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Database management.
Computer systems.
Artificial intelligence-Data processing.
Database Management.
Computer System Implementation.
Data Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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