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MATRIX-HPC Preliminary Results Architecture Execution Unit

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Název: MATRIX-HPC Preliminary Results Architecture Execution Unit
Autoři: Kiran Ramamurthy, Dr. Ioan Raicu
Přispěvatelé: The Pennsylvania State University CiteSeerX Archives
Zdroj: http://datasys.cs.iit.edu/reports/2014_GCASR14_poster-matrix-hpc-scheduling.pdf.
Rok vydání: 2009
Sbírka: CiteSeerX
Témata: Task Computing Execution Fabric for
Popis: • Efficiently scheduling large number of jobs over large scale distributed systems is very critical. • Today's state-of-the-art job schedulers mostly follow a centralized architecture that is master/slave architecture. • Aims at providing HPC support on top of MATRIX MTC framework. • In-corporates resource stealing with work stealing. • Scheduler chooses multiple nodes in random. • Requests for resource information on the nodes. • Validates if sufficient resources are available to complete the tasks. • If Yes, Breaks the task into sub-tasks and migrates it to the nodes selected. • Source receive the results after execution Abstract Working
Druh dokumentu: text
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Jazyk: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.7501
Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.7501
http://datasys.cs.iit.edu/reports/2014_GCASR14_poster-matrix-hpc-scheduling.pdf
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  Data: MATRIX-HPC Preliminary Results Architecture Execution Unit
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  Data: <searchLink fieldCode="AR" term="%22Kiran+Ramamurthy%22">Kiran Ramamurthy</searchLink><br /><searchLink fieldCode="AR" term="%22Dr%2E+Ioan+Raicu%22">Dr. Ioan Raicu</searchLink>
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  Data: <i>http://datasys.cs.iit.edu/reports/2014_GCASR14_poster-matrix-hpc-scheduling.pdf</i>.
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  Data: • Efficiently scheduling large number of jobs over large scale distributed systems is very critical. • Today's state-of-the-art job schedulers mostly follow a centralized architecture that is master/slave architecture. • Aims at providing HPC support on top of MATRIX MTC framework. • In-corporates resource stealing with work stealing. • Scheduler chooses multiple nodes in random. • Requests for resource information on the nodes. • Validates if sufficient resources are available to complete the tasks. • If Yes, Breaks the task into sub-tasks and migrates it to the nodes selected. • Source receive the results after execution Abstract Working
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