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Titlebook: Job Scheduling Strategies for Parallel Processing; 13th International W Eitan Frachtenberg,Uwe Schwiegelshohn Conference proceedings 2008 S

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21#
發(fā)表于 2025-3-25 06:10:00 | 只看該作者
New Challenges of Parallel Job Scheduling, computers. These studies typically focus on large-scale computing environments, where allocation and management of computing resources present numerous challenges. Traditionally, such systems consisted of massively parallel supercomputers, or more recently, large clusters of commodity processor nod
22#
發(fā)表于 2025-3-25 11:24:10 | 只看該作者
23#
發(fā)表于 2025-3-25 11:54:11 | 只看該作者
24#
發(fā)表于 2025-3-25 18:16:13 | 只看該作者
A Job Self-scheduling Policy for HPC Infrastructures,putational resources provided by different Research centers and Universities have become very popular. Job scheduling policies have been adapted to these new scenarios in which several independent resources have to be managed. New policies have been designed to take into account issues like multi-cl
25#
發(fā)表于 2025-3-25 21:12:55 | 只看該作者
26#
發(fā)表于 2025-3-26 04:11:37 | 只看該作者
27#
發(fā)表于 2025-3-26 06:35:35 | 只看該作者
28#
發(fā)表于 2025-3-26 09:53:27 | 只看該作者
29#
發(fā)表于 2025-3-26 14:19:50 | 只看該作者
30#
發(fā)表于 2025-3-26 17:16:07 | 只看該作者
A Self-optimized Job Scheduler for Heterogeneous Server Clusters,es, including memory sizes, disk space, and installed software packages. These differences give rise to a problem of over-provisioning, that is, sub-optimal utilization of a cluster due to users requesting resource capacities greater than what their jobs actually need. Our analysis of a real workloa
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