東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Computer System Implementation." ]

切換: 標籤 | MARC模式 | ISBD

Conquering big data with high perfor...

Arora, Ritu.

FindBook

Google Book

Amazon

博客來

Conquering big data with high performance computing

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Conquering big data with high performance computing/ edited by Ritu Arora.
其他作者:	Arora, Ritu.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	viii, 329 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	High performance computing. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-33742-5
ISBN:	9783319337425$q(electronic bk.)

Conquering big data with high performance computing
Conquering big data with high performance computing[electronic resource] /edited by Ritu Arora. - Cham :Springer International Publishing :2016. - viii, 329 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783319337425$q(electronic bk.)

Standard No.: 10.1007/978-3-319-33742-5doiSubjects--Topical Terms:

591827
High performance computing.

LC Class. No.: QA76.88

Dewey Class. No.: 004.11

Conquering big data with high performance computing
LDR:02985nmm a2200325 a 4500 001 2052364
003 DE-He213
005 20160916191158.0
006 m d
007 cr nn 008maaau
008 170421s2016 gw s 0 eng d
020 $a 9783319337425$q(electronic bk.)
020 $a 9783319337401$q(paper)
024 7 $a 10.1007/978-3-319-33742-5 $2 doi
035 $a 978-3-319-33742-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.88
072 7 $a UN $2 bicssc
072 7 $a UMT $2 bicssc
072 7 $a COM021000 $2 bisacsh
082 0 4 $a 004.11 $2 23
090 $a QA76.88 $b .C753 2016
245 0 0 $a Conquering big data with high performance computing $h [electronic resource] / $c edited by Ritu Arora.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a viii, 329 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a High performance computing. $3 591827
650 0 $a Big data. $3 2045508
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Database Management. $3 891010
650 2 4 $a Computer System Implementation. $3 892710
650 2 4 $a Data Structures. $3 891009
700 1 $a Arora, Ritu. $3 3135609
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-33742-5
950 $a Computer Science (Springer-11645)