MPI for Python

dc.creatorDalcin, Lisandro Daniel
dc.creatorPaz, Rodrigo Rafael
dc.creatorStorti, Mario Alberto
dc.date.accessioned2017-10-13T19:28:27Z
dc.date.accessioned2018-11-06T11:21:21Z
dc.date.available2017-10-13T19:28:27Z
dc.date.available2018-11-06T11:21:21Z
dc.date.created2017-10-13T19:28:27Z
dc.date.issued2005-09
dc.identifierDalcin, Lisandro Daniel; Paz, Rodrigo Rafael; Storti, Mario Alberto; MPI for Python; Elsevier; Journal Of Parallel And Distributed Computing; 65; 9; 9-2005; 1108-1115
dc.identifier0743-7315
dc.identifierhttp://hdl.handle.net/11336/26621
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1849248
dc.description.abstractMPI for Python provides bindings of the Message Passing Interface (MPI) standard for the Python programming language and allows any Python program to exploit multiple processors. This package is constructed on top of the MPI–1 specification and defines an object oriented interface which closely follows MPI–2 C++ bindings. It supports point-to-point (sends, receives) and collective (broadcasts, scatters, gathers) communications of general Python objects. Efficiency has been tested in a Beowulf class cluster and satisfying results were obtained. MPI for Python is open source and available for download on the web (http://www.cimec.org.ar/python)
dc.languageeng
dc.publisherElsevier
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jpdc.2005.03.010
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0743731505000560
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectMessage Passing Interfase
dc.subjectParallel Computing
dc.subjectPython
dc.titleMPI for Python
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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