000 03596nam a22004815i 4500
001 978-3-319-33742-5
003 DE-He213
005 20200421111838.0
007 cr nn 008mamaa
008 160916s2016 gw | s |||| 0|eng d
020 _a9783319337425
_9978-3-319-33742-5
024 7 _a10.1007/978-3-319-33742-5
_2doi
050 4 _aQA76.9.D3
072 7 _aUN
_2bicssc
072 7 _aUMT
_2bicssc
072 7 _aCOM021000
_2bisacsh
082 0 4 _a005.74
_223
245 1 0 _aConquering Big Data with High Performance Computing
_h[electronic resource] /
_cedited by Ritu Arora.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aVIII, 329 p. 80 illus., 59 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aAn 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.
520 _aThis 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.
650 0 _aComputer science.
650 0 _aArchitecture, Computer.
650 0 _aData structures (Computer science).
650 0 _aDatabase management.
650 1 4 _aComputer Science.
650 2 4 _aDatabase Management.
650 2 4 _aComputer System Implementation.
650 2 4 _aData Structures.
700 1 _aArora, Ritu.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319337401
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-33742-5
912 _aZDB-2-SCS
942 _cEBK
999 _c55400
_d55400