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High-Performance Modelling and Simulation for Big Data Applications Selected Results of the COST Action IC1406 cHiPSet

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This 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 di...

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Bibliográfalaš dieđut
Eará dahkkit: Kołodziej, Joanna (Doaimmaheaddji), González-Vélez, Horacio (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš Girjji oassi
Giella:eaŋgalasgiella
Almmustuhtton: Springer Nature 2019
Ráidu:Lecture Notes in Computer Science
Fáttát:
Network hardware
Operating systems
Information retrieval
Systems analysis & design
Computer architecture & logic design
Computer science
Computer system failures
Computer communication systems
Microprocessors
Application software
Logic design
Operating systems (Computers)
Liŋkkat:OAPEN Library: download the publication
OAPEN Library: description of the publication
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Govvádus
Čoahkkáigeassu:This 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.
Olgguldas hápmi:1 electronic resource (352 p.)
ISBN:978-3-030-16272-6
Beassan:Open Access

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