Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade
Performance modeling in action: Performance prediction of a Cray XT4 system during upgrade
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实际性能建模：升级期间 Cray XT4 系统的性能预测
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
D. Kerbyson
中科院分区：
文献类型：
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作者：
K. Barker;K. Davis;D. Kerbyson
我们提出了预测性能模型的两个千万亿次的应用程序，S3 D和GTC，从能源部办公室的科学工作量。我们概述了这些模型的发展，并展示了他们的验证Opteron/Infiniband集群和升级前的ORNL捷豹系统（Cray XT 3/XT 4）。鉴于完整应用模型的高精度，我们预测了Jaguar系统在其节点升级后的性能，并随后将其与升级后系统的实际性能进行比较。然后，我们分析系统的性能模型的基础上量化的瓶颈和潜在的优化。最后，模型被用来量化的好处，替代节点分配策略。
We present predictive performance models of two of the petascale applications, S3D and GTC, from the DOE Office of Science workload. We outline the development of these models and demonstrate their validation on an Opteron/Infiniband cluster and the pre-upgrade ORNL Jaguar system (Cray XT3/XT4). Given the high accuracy of the full application models, we predict the performance of the Jaguar system after the upgrade of its nodes, and subsequently compare this to the actual performance of the upgraded system. We then analyze the performance of the system based on the models to quantify bottlenecks and potential optimizations. Finally, the models are used to quantify the benefits of alternative node allocation strategies.