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Business Information Systems for the Cost/Energy Management of Water Distribution Networks: A Critical Appraisal of Alternative Optimization Strategies Read chapter Read first chapter

2019 | OriginalPaper | Chapter

High-Performance Computing Applied in Project UBEST

Authors : Ricardo Martins, João Rogeiro, Marta Rodrigues, André B. Fortunato, Anabela Oliveira, Alberto Azevedo

Published in: Business Information Systems Workshops

Publisher: Springer International Publishing

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Abstract

UBEST aims at improving the global understanding of present and future biogeochemical buffering capacity of estuaries through the development of Observatories, computational web-portals that integrate field observation and real-time MPI (Message Passing Interface) numerical simulations. HPC (High-Performance Computing) is applied in Observatories to serve both on-the-fly frontend user requests for multiple spatial analyses and to speed up backend’s forecast hydrodynamic and ecological simulations based on unstructured grids. Backend simulations are performed using the open-source SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model). Python programming language will be used in this project to automate the MPI simulations and the web-portal in Django.

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previous chapter Automated Updating of Land Cover Maps Used in Hydrological Modelling
next chapter A Comparative Study on Decision Support Approaches Under Uncertainty
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Metadata
Title
High-Performance Computing Applied in Project UBEST
Authors
Ricardo Martins
João Rogeiro
Marta Rodrigues
André B. Fortunato
Anabela Oliveira
Alberto Azevedo
Copyright Year
2019
Book
Business Information Systems Workshops

Print ISBN: 978-3-030-04848-8

Electronic ISBN: 978-3-030-04849-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-04849-5_44

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