國立高雄大學圖資館 |

Language: English

Back

High-performance modelling and simul...

Gonzalez-Velez, Horacio.

High-performance modelling and simulation for big data applicationsselected results of the COST Action IC1406 cHiPSet /

Record Type:	Electronic resources : Monograph/item
Title/Author:	High-performance modelling and simulation for big data applicationsedited by Joanna Kolodziej, Horacio Gonzalez-Velez.
Reminder of title:	selected results of the COST Action IC1406 cHiPSet /
other author:	Kolodziej, Joanna.
Published:	Cham :Springer International Publishing :2019.
Description:	xiv, 352 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	High performance computing.
Online resource:	https://doi.org/10.1007/978-3-030-16272-6
ISBN:	9783030162726$q(electronic bk.)

High-performance modelling and simulation for big data applicationsselected results of the COST Action IC1406 cHiPSet /
High-performance modelling and simulation for big data applicationsselected results of the COST Action IC1406 cHiPSet /[electronic resource] :edited by Joanna Kolodziej, Horacio Gonzalez-Velez. - Cham :Springer International Publishing :2019. - xiv, 352 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,114000302-9743 ;. - Lecture notes in computer science ;4891..

Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era.

Open access.

This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 "High-Performance Modelling and Simulation for Big Data Applications" (cHiPSet) Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges. cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation. cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation.

ISBN: 9783030162726$q(electronic bk.)

Standard No.: 10.1007/978-3-030-16272-6doiSubjects--Topical Terms:

211079
High performance computing.

LC Class. No.: QA76.88

Dewey Class. No.: 004.11

High-performance modelling and simulation for big data applicationsselected results of the COST Action IC1406 cHiPSet /
LDR:03442nmm a2200361 a 4500 001 554424
003 DE-He213
005 20190325163031.0
006 m d
007 cr nn 008maaau
008 191118s2019 gw s 0 eng d
020 $a 9783030162726$q(electronic bk.)
020 $a 9783030162719$q(paper)
024 7 $a 10.1007/978-3-030-16272-6 $2 doi
035 $a 978-3-030-16272-6
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.88
072 7 $a UYD $2 bicssc
072 7 $a COM074000 $2 bisacsh
072 7 $a UYD $2 thema
082 0 4 $a 004.11 $2 23
090 $a QA76.88 $b .H638 2019
245 0 0 $a High-performance modelling and simulation for big data applications $h [electronic resource] : $b selected results of the COST Action IC1406 cHiPSet / $c edited by Joanna Kolodziej, Horacio Gonzalez-Velez.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiv, 352 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 11400
490 1 $a Theoretical computer science and general issues
505 0 $a Why High-Performance Modelling and Simulation for Big Data Applications Matters -- Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems -- Tail Distribution and Extreme Quantile Estimation using Non-Parametric Approaches -- Towards efficient and scalable data-intensive content delivery: State-of-the-art, issues and challenges -- Big Data in 5G Distributed Applications -- Big Data Processing, Analysis and Applications in Mobile Cellular Networks -- Medical Data Processing and Analysis for Remote Health and Activities Monitoring -- Towards human cell simulation -- Cloud-based High Throughput Virtual Screening in Novel Drug Discovery -- Ultra Wide Band Body Area Networks: Design and integration with Computational Clouds -- Survey on AI-based multimodal methods for emotion detection -- Forecasting Cryptocurrency Value by Sentiment Analysis: An HPC-oriented Survey of the State-of-the-Art in the Cloud Era.
506 $a Open access.
520 $a This open access book is the final compendium of case studies emanated from the 4-year COST Action IC1406 "High-Performance Modelling and Simulation for Big Data Applications" (cHiPSet) Funded by the European Commission from 2015, cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges. cHiPSet has enabled research partnerships for dozens of academics and industry practitioners located in 34 COST countries, as well as in Australia, Belarus, Brazil, China, Russia, and the USA. As a cooperation framework, cHiPSet has reached out to new audiences such as ICT professionals, commercial software developers, and the general public. At a time when Big Data has become a common household term, cHiPSet has strived to become a knowledge hub where data-driven HPC meets Modelling & Simulation. cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation.
650 0 $a High performance computing. $3 211079
650 0 $a Big data. $3 609582
650 0 $a Computer simulation. $3 182122
650 1 4 $a System Performance and Evaluation. $3 273898
650 2 4 $a Computer Communication Networks. $3 218087
650 2 4 $a Processor Architectures. $3 274498
650 2 4 $a Information Systems Applications (incl. Internet) $3 530743
650 2 4 $a Logic Design. $3 276275
650 2 4 $a Operating Systems. $3 274474
700 1 $a Kolodziej, Joanna. $3 522533
700 1 $a Gonzalez-Velez, Horacio. $3 522532
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Theoretical computer science and general issues. $3 822018
856 4 0 $u https://doi.org/10.1007/978-3-030-16272-6
950 $a Computer Science (Springer-11645)