Enabling Advanced Operational Analysis Through Multi-Subsystem Data Integration on Trinity

Operations management of the New Mexico Alliance for Computing at Extreme Scale (ACES) (a collaboration between Los Alamos National Laboratory and Sandia National Laboratories) Trinity platform will rely on data from a variety of sources including System Environment Data Collections (SEDC); node level information, such as high speed network (HSN) performance counters and high fidelity energy measurements; scheduler/resource manager; and plant environmental facilities. The water-cooled Cray XC platform requires a cohesive way to manage both the facility infrastructure and the platform due to several critical dependencies. We present preliminary results from analysis of integrated data on the Trinity Application Readiness Testbed (ART) systems as they pertain to enabling advanced operational analysis through the understanding of operational behaviors, relationships, and outliers. Keywords-High Performance Computing; Monitoring