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Scheduling real-time streaming applications onto an embedded multiprocessor

This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors.  The authors present a flow for designing embedded hard/firm real-time multiprocessor streaming applicat...

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Detalles Bibliográficos
Autores principales: Moreira, Orlando, Corporaal, Henk
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-01246-9
http://cds.cern.ch/record/1635098
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author Moreira, Orlando
Corporaal, Henk
author_facet Moreira, Orlando
Corporaal, Henk
author_sort Moreira, Orlando
collection CERN
description This book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors.  The authors present a flow for designing embedded hard/firm real-time multiprocessor streaming applications, based on data flow formalisms, with a particular focus on wireless modem applications. Architectures are described for the design tools and run-time scheduling and resource management of such a platform.   • Provides a comprehensive overview of the complete design trajectory, based on data flow programming and analysis for multiprocessor systems; • Describes modeling techniques, with an emphasis on different data flow models for budget schedulers and the modeling of different schedulers; • Discusses other relevant data-flow models of computation, such as cyclo-static data flow and variable-rate data flow; • Includes other analysis and scheduling techniques, such as simulation-based throughput analysis and scenario-aware data flow analysis.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
publisher Springer
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spelling cern-16350982021-04-21T21:30:14Zdoi:10.1007/978-3-319-01246-9http://cds.cern.ch/record/1635098engMoreira, OrlandoCorporaal, HenkScheduling real-time streaming applications onto an embedded multiprocessorEngineeringThis book provides a comprehensive overview of the state-of-the-art, data flow-based techniques for the analysis, modeling and mapping technologies of concurrent applications on multi-processors.  The authors present a flow for designing embedded hard/firm real-time multiprocessor streaming applications, based on data flow formalisms, with a particular focus on wireless modem applications. Architectures are described for the design tools and run-time scheduling and resource management of such a platform.   • Provides a comprehensive overview of the complete design trajectory, based on data flow programming and analysis for multiprocessor systems; • Describes modeling techniques, with an emphasis on different data flow models for budget schedulers and the modeling of different schedulers; • Discusses other relevant data-flow models of computation, such as cyclo-static data flow and variable-rate data flow; • Includes other analysis and scheduling techniques, such as simulation-based throughput analysis and scenario-aware data flow analysis.Springeroai:cds.cern.ch:16350982014
spellingShingle Engineering
Moreira, Orlando
Corporaal, Henk
Scheduling real-time streaming applications onto an embedded multiprocessor
title Scheduling real-time streaming applications onto an embedded multiprocessor
title_full Scheduling real-time streaming applications onto an embedded multiprocessor
title_fullStr Scheduling real-time streaming applications onto an embedded multiprocessor
title_full_unstemmed Scheduling real-time streaming applications onto an embedded multiprocessor
title_short Scheduling real-time streaming applications onto an embedded multiprocessor
title_sort scheduling real-time streaming applications onto an embedded multiprocessor
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-01246-9
http://cds.cern.ch/record/1635098
work_keys_str_mv AT moreiraorlando schedulingrealtimestreamingapplicationsontoanembeddedmultiprocessor
AT corporaalhenk schedulingrealtimestreamingapplicationsontoanembeddedmultiprocessor