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Local versus Global Schedulers with Processor Co-allocation in Multicluster Systems

机译:多集群系统中具有处理器协同分配功能的本地与全局调度程序

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In systems consisting of multiple clusters of processors which employ space sharing for scheduling jobs, such as our Distributed ASCI Supercomputer (DAS), co-allocation, i.e., the simultaneous allocation of processors to single jobs in different clusters, may be required. We study the performance of co-allocation by means of simulations for the mean response time of jobs depending on a set of scheduling decisions such as the number of schedulers and queues in the system, the way jobs with different numbers of components are distributed among these queues and the priorities imposed on the schedulers, and on the composition of the job stream.
机译:在由多个处理器群集组成的系统中,这些处理器群集使用空间共享来调度作业,例如我们的分布式ASCI超级计算机(DAS),可能需要协同分配,即,将处理器同时分配给不同群集中的单个作业。我们通过模拟作业的平均响应时间来研究协同分配的性能,该平均响应时间取决于一组调度决策,例如系统中的调度程序和队列的数量,具有不同组件数量的作业在其中分配的方式队列和强加给调度程序以及工作流组成的优先级。

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