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Scheduling Parallel Job on Param Padma with Mpich

机译:使用Mpich在Param Padma上调度并行作业

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We have implemented a job scheduling system for massively parallel system with Mpich that supports different scheduling policies for execution of parallel jobs. The system is available on C-DAC HPC cluster PARAM Padma. It is highly modular scalable and can easily be adapted to variety of other MPP systems. Conventional job scheduler daemons take a part of resources continuously for its own activity that reduces the overall computational metric of the cluster. The scheduler minimized this resource usage by eliminating scheduler acceptor and resource monitoring daemons on the each compute nodes. This idea provides better utilization of resources on the cluster.
机译:我们已经使用Mpich为大规模并行系统实现了一个作业调度系统,该系统支持用于执行并行作业的不同调度策略。该系统在C-DAC HPC群集PARAM Padma上可用。它具有高度模块化的可扩展性,可以轻松地适应各种其他MPP系统。传统的作业调度程序守护程序会为其自身的活动连续获取一部分资源,从而减少了群集的总体计算指标。调度程序通过消除每个计算节点上的调度程序接受器和资源监视守护程序,从而最大程度地减少了这种资源使用。这个想法可以更好地利用群集上的资源。

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