Study of Intra- and Interjob Interference on Torus Networks
Study of Intra- and Interjob Interference on Torus Networks
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环面网络的作业内和作业间干扰研究
DOI：
10.1109/icpads.2016.0040
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Z. Lan
中科院分区：
文献类型：
--
作者：
Xu Yang;John Jenkins;Misbah Mubarak;Xin Wang;R. Ross;Z. Lan
HPC系统上并发运行的作业之间的网络争用是性能变化的主要原因。因此，优化作业分配和避免网络共享对于缓解潜在的性能下降至关重要。为了有效地做到这一点，同时运行的作业，他们的通信模式，并在网络中的竞争之间的干扰的理解是必需的。在这项工作中，我们选择了三个有代表性的HPC应用程序从DOE设计前瞻性的项目，并进行详细的模拟环面网络模型来分析内部和作业间的干扰。通过仔细检查这些申请的沟通行为，我们确定了这些行为与不同就业安置政策可能引入的干扰之间的关系。我们的分析照亮了HPC系统上的工作安置的通信模式意识的路径。
Network contention between concurrently running jobs on HPC systems is a primary cause of performance variability. Optimizing job allocation and avoiding network sharing are hence crucial to alleviate the potential performance degradation. In order to do so effectively, an understanding of the interference among concurrently running jobs, their communication patterns, and contention in the network is required. In this work, we choose three representative HPC applications from the DOE Design Forward Project and conduct detailed simulations on a torus network model to analyze both intra-and interjob interference. By scrutinizing the communication behaviors of these applications, we identify relationships between these behaviors and the possible interference introduced by different job placement policies. Our analyses illuminate a path toward communication pattern awareness in job placement on HPC systems.