Practical Monitoring of Resource Utilization for HPC Applications
Antonio Gómez‐Iglesias, Carlos Rosales, R. T. Evans · 2016
HPC centers run a diverse set of applications from a variety of scientific domains. Every application has different resource requirements, but it is difficult for domain experts to find out what these requirements are and how they impact performance. In particular, the utilization of shared resources such as parallel file systems may influence application performance in significant ways that are not always obvious to the user. We present a tool designed to provide the information that is most critical for running an application efficiently on HPC systems. The information provided forms a complete view of the application's interaction with the system resources, which is typically missing from other profiling and analysis tools. The tool is designed to be scalable and have minimal impact on application performance, and includes support for different accelerators.