18 résultats avec le mot-clé: 'low energy high performance scheduling scalable computing systems'
Then, we fix the makespan objective as con- straint and a random local search algorithm that pro- motes voltage scaling is used to reduce the energy consumption of the
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McCalley, “Dynamic load balancing and scheduling for parallel power system dynamic contingency analysis,” in High Performance Computing in Power and Energy Systems, 2013, pp..
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We iterate the calls to Algorithm 2, adding a processor to the task with longest execution time, until: (i) either the task of longest ex- ecution time is already assigned p
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Lebre, Cooperative Dynamic Scheduling of Virtual Machines in Distributed Systems, in Proceedings of the Virtualization for High Performance Cloud Computing workshop colocated
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“Reducing the energy consumption of large scale computing systems through combined shutdown policies with multiple constraints.” In International Journal of High Performance
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A partir des réponses obtenues nous avons tenté de relever les erreurs les plus courantes commises dans la résolution d’une situation suscitant un calcul de
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Dans ce contexte, RESPALIF (Fédération des Réseaux de Soins Palliatifs d’Ile de France) a créé un livret présentant de façon synthétique les différentes
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The social constitution of memory communities Peripheral memories also encompass narratives that are suppressed in public discourse?. The history of women comes
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The present section first evaluates our approach in terms of performance on a set of stencil benchmarks; then it presents a full reconfigurable example built using a dedicated
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- Les organismes de recherche et de médiation scientifique : Institut National de la Recherche Agronomique (INRA), Institut de recherche pour le Développement (IRD),
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Rajamanickam, “Scalable inference for sparse deep neural networks using Kokkos kernels,” in IEEE High Performance Extreme Computing Conference (HPEC). Owens, “Accelerating DNN
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For that, minimum, maximum and average completion time of the task are used as if it was the only task to be scheduled on the computing system.. The name of the heuristics is MinMin
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Correlations between brain tryptophan (TRP) and ( a ) plasma total TRP, ( b ) plasma free TRP, (c) plasma total TRP:large neutral amino acids (LNAA) ratio, ( d ) plasma
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One of the most widely used batch mode dynamic heuristic for scheduling independent tasks in the heterogeneous computing system is the min- min algorithm.. It begins by considering
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We implemented the Hadoop Fair Sojourn Protocol scheduler, a scheduling policy for DISC systems based on the FSPE policy defined for a single server queue.. While the main
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With the shift in high-performance computing (HPC) towards energy e cient hardware architectures such as accelerators (NVIDIA GPUs) and embedded systems (ARM processors), arose the
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We implemented the Hadoop Fair Sojourn Protocol scheduler, a scheduling policy for DISC systems based on the FSPE policy defined for a single server queue.. While the main
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Clearly there are still many issues to make security common- place dealing with configurable computing and to define the overhead costs that imply security mechanisms at the
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