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dc.contributor.authorWang, Jain J.en_US
dc.contributor.authorAbrams, Marcen_US
dc.date.accessioned2013-06-19T14:36:56Z
dc.date.available2013-06-19T14:36:56Z
dc.date.issued1995-02-01
dc.identifierhttp://eprints.cs.vt.edu/archive/00000417/en_US
dc.identifier.urihttp://hdl.handle.net/10919/19903
dc.description.abstractThis paper investigates two parallel simulation methodologies, multiple replication and parallel regenerative simulation. Problems of applying these methodologies to massively parallel simulations are identified. Two approaches (MR-PI and PR) are proposed to overcome some of these problems. The MR-PI approach, based on multiple replication simulation, uses a pilot simulation to reduce the initial transient bias by starting the simulation from a state that is representative of the steady-state conditions. The PR approach allows approximate regeneration by using substate matching for models that do no regenerate frequently. Empirical results suggest that the proposed approaches can produce very accurate results.en_US
dc.format.mimetypeapplication/postscripten_US
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen_US
dc.relation.ispartofHistorical Collection(Till Dec 2001)en_US
dc.titleMassively Parallel Simulations with Application to Queueing Networksen_US
dc.typeTechnical reporten_US
dc.identifier.trnumberTR-95-02en_US
dc.type.dcmitypeTexten_US
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000417/01/TR-95-02.ps


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