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dc.date.accessioned 2012-10-16T13:19:33Z
dc.date.available 2012-10-16T13:19:33Z
dc.date.issued 2004
dc.identifier.uri http://hdl.handle.net/10915/22485
dc.description.abstract The design of parallel programs requires fancy solutions that are not present in sequential programming. Thus, a designer of parallel applications is concerned with the problem of ensuring the correct behavior of all the processes that the program comprises. There are different solutions to each problem, but the question is to find one, that is general. One possibility is allowing the use of asynchronous groups of processors. We present a general methodology to derive efficient parallel divide and conquer algorithms. Algorithms belonging to this class allow the arbitrary division of the processor subsets, easing the opportunities of the underlying software to divide the network in independent sub networks, minimizing the impact of the traffic in the rest of the network in the predicted cost. This methodology is defined by OTMP model and its expressiveness is exemplified through three divide and conquer programs. en
dc.format.extent 11 p. es
dc.language en es
dc.title Generic communication in parallel computation en
dc.type Objeto de conferencia es
sedici.creator.person Piccoli, María Fabiana es
sedici.creator.person Printista, Alicia Marcela es
sedici.creator.person González, C. es
sedici.description.note Eje: IV - Workshop de procesamiento distribuido y paralelo es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.eurovoc comunicación es
sedici.subject.keyword division function en
sedici.subject.keyword dynamic polytope en
sedici.subject.keyword hypercubic communication en
sedici.subject.keyword programming model en
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.relation.event X Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es
sedici.subject.acmcss98 Parallel processing es
sedici.subject.acmcss98 Distributed es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)