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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorVicente, Luis M.
dc.contributor.authorFabery, Ramón O.
dc.date.accessioned2020-08-05T11:32:17Z
dc.date.available2020-08-05T11:32:17Z
dc.date.issued2012
dc.identifier.citationFabery, R. O. (2012). Serial to parallel matrix inverse algorithm using Gauss – Jordan Method [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/487
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractAbstract — In the past decade computers have become faster and more efficient, utilizing the technology available to put more transistors inside the same space; but when they can’t shrink the transistor any more is time to put more processors together to reduce the time of execution and have more than one processor making different instructions at the same time. This increment in throughput is possible using Message Passing Interface (MPI) a portable message-passing communication protocol that allows breaking apart the code and thus perform many instructions assigning to each processor the specific instruction to be executed making the process much faster. We are using a serial C programming language code program that calculates the inverse of a matrix using the Gauss-Jordan Method; then, we parallelize the same program using MPI. Key Terms — Matrix Inverse, Message Passing Interface, Multiples Cores, Parallel Computing.en_US
dc.language.isoenen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofElectrical Engineering;
dc.relation.ispartofseriesSpring-2012;
dc.relation.haspartSan Juanen_US
dc.subject.lcshData transmission systemsen_US
dc.subject.lcshC (Computer program language)en_US
dc.subject.lcshMatricesen_US
dc.subject.lcshEngineering mathematics--Data processingen_US
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleSerial to Parallel Matrix Inverse Algorithm using Gauss – Jordan Methoden_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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