Conquering Big Data with High Performance Computing
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Beschreibung
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.
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
Autor*in
Ritu Arora
Themen in »Conquering Big Data with High Performance Computing«
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 data structures