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Understanding how resources of High Performance Compute platforms are utilized by applications both individually and as a composite is key to application and platform performance. Typical system monitoring tools do not provide sufficient fidelity while application profiling tools do not capture the complex interplay between applications competing for shared resources. To gain new insights, monitoring...
The performance of science applications on modern HPC equipment depends on many factors. Architectural features, individual hardware characteristics, and scheduler traits all have an impact on how a particular application performs, not only in isolation but when run in concert with other user applications. Being able to correlate system events and conditions at particular times can give insight into...
At a recent meeting of monitoring experts from nine large supercomputing centers, there was a broad divergence of opinion on what monitoring in our environment actually is, what ought to be monitored, what technology should be used, etc. Broad consensus can be summarized in a couple of key points: • Data management is increasingly a problem. As a result, historical information is rarely kept, or,...
We present an inexpensive hardware system for monitoring power usage of individual CPU hosts and externally attached GPUs in HPC clusters and the software stack for integrating the power usage data streamed in real-time by the power monitoring hardware with the cluster management software tools. We introduce a measure for quantifying the overall improvement in performance-per-watt for applications...
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