Application power profiling on IBM Blue Gene/Q
2013 IEEE International Conference on Cluster Computing (CLUSTER)
The power consumption of state of the art supercomputers, because of their complexity and unpredictable workloads, is extremely difficult to estimate. Accurate and precise results, as are now possible with the latest generation of supercomputers, are therefore a welcome addition to the landscape. Only recently have end users been afforded the ability to access the power consumption of their applications. However, just because it's possible for end users to obtain this data does not mean it's a
... es not mean it's a trivial task. This emergence of new data is therefore not only understudied, but also not fully understood. In this paper, we provide detailed power consumption analysis of microbenchmarks running on Argonne's latest generation of IBM Blue Gene supercomputers, Mira, a Blue Gene/Q system. The analysis is done utilizing our power monitoring library, MonEQ, built on the IBM provided Environmental Monitoring (EMON) API. We describe the importance of sub-second polling of various power domains and the implications they present. To this end, previously well understood applications will now have new facets of potential analysis.