Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10261/1773
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dc.creatorCreel, Michael-
dc.date2007-10-31T14:38:40Z-
dc.date2007-10-31T14:38:40Z-
dc.date2005-06-15-
dc.date.accessioned2017-01-31T00:57:51Z-
dc.date.available2017-01-31T00:57:51Z-
dc.identifierhttp://hdl.handle.net/10261/1773-
dc.identifier.urihttp://dspace.mediu.edu.my:8181/xmlui/handle/10261/1773-
dc.descriptionThe parameterized expectations algorithm (PEA) involves a long simulation and a nonlinear least squares (NLS) fit, both embedded in a loop. Both steps are natural candidates for parallelization. This note shows that parallelization can lead to important speedups for the PEA. I provide example code for a simple model that can serve as a template for parallelization of more interesting models, as well as a download link for an image of a bootable CD that allows creation of a cluster and execution of the example code in minutes, with no need to install any software.-
dc.descriptionThis research was supported by grants SGR2001-0164 and SEC2003-05112.-
dc.languageeng-
dc.relationUFAE and IAE Working Papers-
dc.relation651.05-
dc.rightsopenAccess-
dc.subjectParameterized expectations-
dc.subjectParallel computing-
dc.titleA Note on Parallelizing the Parameterized Expectations Algorithm-
dc.typeDocumento de trabajo-
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