dc.contributorUniversidade Estadual de Campinas (UNICAMP)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T16:55:02Z
dc.date.accessioned2022-12-19T19:56:47Z
dc.date.available2020-12-10T16:55:02Z
dc.date.available2022-12-19T19:56:47Z
dc.date.created2020-12-10T16:55:02Z
dc.date.issued2013-01-01
dc.identifier2013 20th International Conference On High Performance Computing (hipc). New York: Ieee, p. 236-245, 2013.
dc.identifier1094-7256
dc.identifierhttp://hdl.handle.net/11449/194805
dc.identifierWOS:000353685400025
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5375442
dc.description.abstractIn the last few years, Transactional Memories (TMs) have been shown to be a parallel programming model that can effectively combine performance improvement with ease of programming. Moreover, the recent introduction of TM-based ISA extensions, by major microprocessor manufacturers, also seems to endorse TM as a programming model for today's parallel applications. One of the central issues in designing Software TM (STM) systems is to identify mechanisms/heuristics that can minimize contention arising from conflicting transactions. Although a number of mechanisms have been proposed to tackle contention, such techniques have a limited scope, as conflict is avoided by either interrupting or serializing transaction execution, thus considerably impacting performance. To deal with this limitation, we have proposed a new effective transaction scheduler, along with a conflict-avoidance heuristic, that implements a fully cooperative scheduler that switches a conflicting transaction by another with a lower conflicting probability. This paper extends such framework and introduces a new heuristic, built from the combination of our previous conflict avoidance technique with the Contention Intensity heuristic proposed by Yoo and Lee. Experimental results, obtained using the STMBench7 and STAMP benchmarks atop tinySTM, show that the proposed heuristic produces significant speedups when compared to other four solutions.
dc.languageeng
dc.publisherIeee
dc.relation2013 20th International Conference On High Performance Computing (hipc)
dc.sourceWeb of Science
dc.titleTransaction Scheduling using Conflict Avoidance and Contention Intensity
dc.typeActas de congresos


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