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dc.contributor.authorWieser, Volkmar
dc.contributor.authorHölzenspies, Philip K. F.
dc.contributor.authorRoßbory, Michael
dc.contributor.authorKirner, Raimund
dc.date.accessioned2017-05-25T08:45:15Z
dc.date.available2017-05-25T08:45:15Z
dc.date.issued2012-01-01
dc.identifier.citationWieser , V , Hölzenspies , P K F , Roßbory , M & Kirner , R 2012 , Statistical performance analysis with dynamic workload using S-NET . in Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures . 7th HiPEAC Conference , Paris , France , 23/01/12 .
dc.identifier.citationconference
dc.identifier.urihttp://hdl.handle.net/2299/18216
dc.descriptionVolkmar Wieser, Philip K. F. Hölzenspies, Michael Roßbory, and Raimund Kirner, 'Statistical performance analysis with dynamic workload using S-NET'. Paper presented at the Workshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures. Paris, France 23-25 January 2012
dc.description.abstractIn this paper the ADVANCE approach for engineering con- current software systems with well-balanced hardware ef- ficiency is adressed using the stream processing language S-Net. To obtain the cost information in the concurrent system the metrics throughput, latency, and jitter are evalu- ated by analyzing generated synthetical data as well as using an industrial related application in the future. As fall-out an Eclipse plugin for S-Net has been developed to provide sup- port for syntax highlighting, content assistance, hover help, and more, for easier and faster development. The presented results of the current work are on the one hand an indicator for the status quo of the ADVANCE vision and on the other hand used to improve the applied statistical analysis tech- niques within ADVANCE. Like the ADVANCE project, this work is still under development, but further improvements and speedups are expected in the near future.en
dc.format.extent7
dc.format.extent861819
dc.language.isoeng
dc.relation.ispartofWorkshop on Feedback-Directed Compiler Optimization for Multi-Core Architectures
dc.titleStatistical performance analysis with dynamic workload using S-NETen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionScience & Technology Research Institute
rioxxterms.typeOther
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