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dc.date.accessioned 2012-11-15T16:35:04Z
dc.date.available 2012-11-15T16:35:04Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24246
dc.description.abstract This paper presents an extension of the Latency Time (LT) scheduling algorithm for assigning tasks with arbitrary execution times on a multiprocessor with shared memory. The Extended Latency Time (ELT) algorithm adds to the priority function synchronization associated with access to the shared memory. The assignment is carried out associating with each task a time window of the same size as its duration, which decreases with the Insertion Scheduling Heuristic (ISH). Analysis of the results established that ELT has better performance with fine granularity tasks (computing time comparable to synchronization time), and also, when the number of processors available to carry out the assignment increases en
dc.language en es
dc.subject Scheduling es
dc.subject Latency Time (LT) en
dc.subject Algorithms es
dc.subject Extended Latency Time (ELT) es
dc.subject Multiple Data Stream Architectures (Multiprocessors) es
dc.title A shared-memory multiprocessor scheduling algorithm en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34655-4 es
sedici.creator.person Zuccar, Irene es
sedici.creator.person Solar, Mauricio es
sedici.creator.person Kri, Fernanda es
sedici.creator.person Parada, Víctor es
sedici.description.note Applications in Artificial Intelligence - Applications es
sedici.subject.materias Ciencias Informáticas es
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.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review 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)