Bounds on series-parallel slowdown

dc.creatorSalamon, András Z.
dc.creatorGalpin, Vashti
dc.date2009-04-29
dc.date.accessioned2026-07-07T13:09:52Z
dc.date.available2026-07-07T13:09:52Z
dc.descriptionWe use activity networks (task graphs) to model parallel programs and consider series-parallel extensions of these networks. Our motivation is two-fold: the benefits of series-parallel activity networks and the modelling of programming constructs, such as those imposed by current parallel computing environments. Series-parallelisation adds precedence constraints to an activity network, usually increasing its makespan (execution time). The slowdown ratio describes how additional constraints affect the makespan. We disprove an existing conjecture positing a bound of two on the slowdown when workload is not considered. Where workload is known, we conjecture that 4/3 slowdown is always achievable, and prove our conjecture for small networks using max-plus algebra. We analyse a polynomial-time algorithm showing that achieving 4/3 slowdown is in exp-APX. Finally, we discuss the implications of our results.
dc.description12 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/0904.4512
dc.identifierhttp://arxiv.org/abs/0904.4512
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/228882
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectComputational Complexity
dc.subjectPerformance
dc.subjectD.1.3; D.3.3; D.4.8; F.2.2; G.2.2
dc.titleBounds on series-parallel slowdown
dc.typetext

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