Parallel computing in conceptual sewer simulations.
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| Title: | Parallel computing in conceptual sewer simulations. |
|---|---|
| Authors: | Burger, G.1 gregor.burger@uibk.ac.at, Fach, S.2 stefan.fach@uibk.ac.at, Kinzel, H.2 wolfgang.rauch@uibk.ac.at, Rauch, W.3 Kinzel@hydro-it.com |
| Source: | Water Science & Technology. 2010, Vol. 61 Issue 2, p283-291. 9p. 6 Diagrams, 5 Graphs. |
| Subjects: | Drainage, Sanitary engineering, Pollution, Underground utility lines, Hydraulic structures, Sewerage, Vector spaces, Algorithms, Parallel computers |
| Abstract: | Integrated urban drainage modelling is used to analyze how existing urban drainage systems respond to particular conditions. Based on these integrated models, researchers and engineers are able to e.g. estimate long-term pollution effects, optimize the behaviour of a system by comparing impacts of different measures on the desired target value or get new insights on systems interactions. Although the use of simplified conceptual models reduces the computational time significantly, searching the enormous vector space that is given by comparing different measures or that the input parameters span, leads to the fact, that computational time is still a limiting factor. Owing to the stagnation of single thread performance in computers and the rising number of cores one needs to adapt algorithms to the parallel nature of the new CPUs to fully utilize the available computing power. In this work a new developed software tool named CD3 for parallel computing in integrated urban drainage systems is introduced. From three investigated parallel strategies two showed promising results and one results in a speedup of up to 4.2 on an eight-way hyperthreaded quad core CPU and shows even for all investigated sewer systems significant run-time reductions. [ABSTRACT FROM AUTHOR] |
| Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 48176989 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Parallel computing in conceptual sewer simulations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burger%2C+G%2E%22">Burger, G.</searchLink><relatesTo>1</relatesTo><i> gregor.burger@uibk.ac.at</i><br /><searchLink fieldCode="AR" term="%22Fach%2C+S%2E%22">Fach, S.</searchLink><relatesTo>2</relatesTo><i> stefan.fach@uibk.ac.at</i><br /><searchLink fieldCode="AR" term="%22Kinzel%2C+H%2E%22">Kinzel, H.</searchLink><relatesTo>2</relatesTo><i> wolfgang.rauch@uibk.ac.at</i><br /><searchLink fieldCode="AR" term="%22Rauch%2C+W%2E%22">Rauch, W.</searchLink><relatesTo>3</relatesTo><i> Kinzel@hydro-it.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Water+Science+%26+Technology%22">Water Science & Technology</searchLink>. 2010, Vol. 61 Issue 2, p283-291. 9p. 6 Diagrams, 5 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Drainage%22">Drainage</searchLink><br /><searchLink fieldCode="DE" term="%22Sanitary+engineering%22">Sanitary engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Pollution%22">Pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Underground+utility+lines%22">Underground utility lines</searchLink><br /><searchLink fieldCode="DE" term="%22Hydraulic+structures%22">Hydraulic structures</searchLink><br /><searchLink fieldCode="DE" term="%22Sewerage%22">Sewerage</searchLink><br /><searchLink fieldCode="DE" term="%22Vector+spaces%22">Vector spaces</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+computers%22">Parallel computers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Integrated urban drainage modelling is used to analyze how existing urban drainage systems respond to particular conditions. Based on these integrated models, researchers and engineers are able to e.g. estimate long-term pollution effects, optimize the behaviour of a system by comparing impacts of different measures on the desired target value or get new insights on systems interactions. Although the use of simplified conceptual models reduces the computational time significantly, searching the enormous vector space that is given by comparing different measures or that the input parameters span, leads to the fact, that computational time is still a limiting factor. Owing to the stagnation of single thread performance in computers and the rising number of cores one needs to adapt algorithms to the parallel nature of the new CPUs to fully utilize the available computing power. In this work a new developed software tool named CD3 for parallel computing in integrated urban drainage systems is introduced. From three investigated parallel strategies two showed promising results and one results in a speedup of up to 4.2 on an eight-way hyperthreaded quad core CPU and shows even for all investigated sewer systems significant run-time reductions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Water Science & Technology is the property of IWA Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.2166/wst.2010.798 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 283 Subjects: – SubjectFull: Drainage Type: general – SubjectFull: Sanitary engineering Type: general – SubjectFull: Pollution Type: general – SubjectFull: Underground utility lines Type: general – SubjectFull: Hydraulic structures Type: general – SubjectFull: Sewerage Type: general – SubjectFull: Vector spaces Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Parallel computers Type: general Titles: – TitleFull: Parallel computing in conceptual sewer simulations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burger, G. – PersonEntity: Name: NameFull: Fach, S. – PersonEntity: Name: NameFull: Kinzel, H. – PersonEntity: Name: NameFull: Rauch, W. IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 01 Text: 2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 02731223 Numbering: – Type: volume Value: 61 – Type: issue Value: 2 Titles: – TitleFull: Water Science & Technology Type: main |
| ResultId | 1 |
