عنوان

High-performance modelling and simulation for big data applications :

(Number (ISBN

3030162729

(Number (ISBN

9783030162726

Erroneous ISBN

9783030162719

Title Proper

High-performance modelling and simulation for big data applications :

General Material Designation

[Book]

Other Title Information

selected results of the COST Action IC1406 cHiPSet /

First Statement of Responsibility

Joanna Kołodziej, Horacio González-Vélez (eds.).

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer Open,

Date of Publication, Distribution, etc.

2019.

Specific Material Designation and Extent of Item

1 online resource (xiv, 352 pages) :

Other Physical Details

illustrations (some color)

Series Title

Lecture notes in computer science ;

Series Title

LNCS sublibrary. SL 1, Theoretical computer science and general issues

Volume Designation

11400

Text of Note

Includes author index.

Text of Note

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.

0

Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030162726

Big data.

Computer simulation.

High performance computing.

Big data.

Computer simulation.

High performance computing.

Number

Edition

Class number

González-Vélez, Horacio

Kołodziej, Joanna

Date of Transaction

20200823085106.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y