Show simple item record

dc.contributor.editorKołodziej, Joanna
dc.contributor.editorGonzález-Vélez, Horacio
dc.date.accessioned2021-02-10T14:29:39Z
dc.date.available2021-02-10T14:29:39Z
dc.date.issued2019
dc.identifier1006821
dc.identifierhttp://library.oapen.org/handle/20.500.12657/23334
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/35783
dc.description.abstractThis open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.
dc.languageEnglish
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UK Computer hardware::UKN Network hardware
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UL Operating systems
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UN Databases::UNH Information retrieval
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYD Systems analysis & design
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer science::UYF Computer architecture & logic design
dc.subject.otherComputer science
dc.subject.otherComputer system failures
dc.subject.otherComputer communication systems
dc.subject.otherMicroprocessors
dc.subject.otherApplication software
dc.subject.otherLogic design
dc.subject.otherOperating systems (Computers)
dc.titleHigh-Performance Modelling and Simulation for Big Data Applications
dc.title.alternativeSelected Results of the COST Action IC1406 cHiPSet
dc.typebook
oapen.identifier.doi10.1007/978-3-030-16272-6
oapen.relation.isPublishedBy9fa3421d-f917-4153-b9ab-fc337c396b5a
oapen.pages352
dc.dateSubmitted2020-03-18 13:36:15
dc.dateSubmitted2020-04-01T09:12:07Z


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

open access
Except where otherwise noted, this item's license is described as open access