Hydra MPI的最佳进步是什么 [英] What's the best advance of Hydra MPI

问题描述

我正在研究MPICH2随附的新流程管理器，但是直到现在我仍无法弄清楚此实现的重大进展，有人知道一个很好的教程或有一定的经验吗?
argonne Wiki太简单了: http://wiki.mcs.anl .gov/mpich2/index.php/Using_the_Hydra_Process_Manager

I'm studying about the new Process Manager that came automatically with MPICH2, but until now I can't figure out what's is big advance of this implementation, someone have knows a good tutorial or have some experience with?
The argonne wiki is a kind of too simple: http://wiki.mcs.anl.gov/mpich2/index.php/Using_the_Hydra_Process_Manager

推荐答案

从我工作的角度来看，最大的进步是流程启动的可伸缩性.在基于MPICH2的MPI实现中，使用以前的进程启动器启动8000+任务作业速度异常缓慢，并且由于超时或其他网络问题而经常失败，这几乎排除了基于MPICH2的MPI作为我们最大的工作.但是Hydra具有良好的分层启动模型，该模型也可以利用您的资源管理器.

From the point of view of where I work, the biggest single advance is scalability of process launching. Launching 8000+ task jobs with the previous process launchers in MPICH2-based MPI implementations was unusably slow and would frequently fail due to timeouts or other network problems, which all but ruled out MPICH2-based MPIs for our largest jobs. But Hydra has a good hierarchical launch model which can also take advantage of your resource manager.

了解拓扑的分配策略也不错，但是与作业启动失败(或耗时数小时)和作业成功之间的差异相比，这是二阶效应.

The topology-aware allocation strategies are good, too, but compared to the difference between jobs startup failing (or taking hours) and jobs succeeding, it's a second-order effect.

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