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The use of GA decreases execution time of resource scheduling.
Using multi-/many-core architecture is the only way to decrease execution time.
(3) Finally, we prove MixHeter can greatly decrease execution time than capacity scheduler of Hadoop 2.7.3 and capacity scheduler with label-based scheduling up to 15%60%% in heterogeneous environments, especially in the condition of mixed workloads with different resource preferences.
Given these results, it seems that adding processors to the system decreases execution time, which improves system performance.
Firstly, decreasing execution times is completed by the zero-entry's set in weighting matrices.
Parallel implementation can greatly decrease execution times for almost all mappers.
The -S option generally also decreases execution times, because a large number of unecessary computations are omitted (see (Izquierdo-Carrasco et al., 2011a) for performance details).
Application specific hardware platform for SENSE may dramatically increase the power efficiency of the system and can decrease the execution time to obtain MR images.
The experimental results exhibit improvements for commonly used similarity thresholds of between 40% and 80%, in the best case decreasing the execution time up to 11% and increasing the number of filtered candidates up to 63%.
Professor Howle developed a reduced Galerkin method which decreases the execution time by orders of magnitude for large problems.
For example, in a Sort workload, we are able to decrease its execution time more than 600 s.
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