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A Hybrid Parallelization Approach for Cloud-enabled Metabolic Flux Analysis Simulation Workflows

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dc.contributor.authorDalman, Tolga
dc.contributor.authorWeitzel, Michael
dc.contributor.authorFreisleben, Bernd
dc.contributor.authorWiechert, Wolfgang
dc.contributor.authorNöh, Katharina
dc.date.accessioned2017-12-06T09:06:18Z
dc.date.available2017-12-06T09:06:18Z
dc.date.issued2011
dc.identifier.doi10.1007/BF03342004
dc.identifier.pissn0177-0454
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/8574
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware: Vol. 28, No. 1
dc.relation.ispartofseriesPARS: Parallel-Algorithmen, -Rechnerstrukturen und -Systemsoftware
dc.subjectShared Memory
dc.subjectMetabolic Flux
dc.subjectMemory Consumption
dc.subjectFlux Analysis
dc.subjectMetabolic Flux Analysis
dc.titleA Hybrid Parallelization Approach for Cloud-enabled Metabolic Flux Analysis Simulation Workflowsen
dc.typeText/Journal Article
gi.citation.endPage213
gi.citation.startPage210

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