Titlebook: Euro-Par 2015: Parallel Processing; 21st International C Jesper Larsson Tr?ff,Sascha Hunold,Francesco Versa Conference proceedings 2015 Spr

Facet-Joints

On the Heterogeneity Bias of Cost Matrices When Assessing Scheduling Algorithmsied properties. Carefully controlling these properties is mandatory to avoid any bias. We consider the scheduling problem consisting of allocating independent sequential tasks on unrelated processors while minimizing the maximum execution time. In this problem, the instance is a cost matrix that spe

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Moody Scheduling for Speculative Parallelizationnot be predicted before runtime, finding a good chunk size is not a simple task. The most used mechanism, Fixed-Size Chunking (FSC), requires many “dry-runs” to set the optimal chunk size. If the loop does not present dependence violations at runtime, scheduling only needs to deal with load balancin

senile-dementia

Allocating Jobs with Periodic Demand Variationsn an analysis of a public Google trace corresponding to the use of a production cluster over a long period, we propose a model where long-running services experience demand variations with a periodic (daily) pattern and we prove that services following this model acknowledge for most of the overall

WATER

A Multi–level Hypergraph Partitioning Algorithm Using Rough Set Clustering distributed systems than the equivalent graph problem. In this paper, we propose a sequential multi-level hypergraph partitioning algorithm. The algorithm makes novel use of the technique of rough set clustering in categorising the vertices of the hypergraph. The algorithm treats hyperedges as feat

Agnosia

Non-preemptive Throughput Maximization for Speed-Scaling with Power-Downrocessing volume .. The processor can vary its speed and can switch into a sleep state in order to reduce its energy consumption. No energy is consumed in this state, but a fixed amount of energy, equal to ., is required for a transition from the sleep state to the active state. Here, we study the .

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Jesper Larsson Tr?ff,Sascha Hunold,Francesco VersaIncludes supplementary material:

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