Modern performance analysis tools are increasingly capable of capturing a high volume of metrics at ever-finer granularity. This abundance of information presents an opportunity to move beyond post-mortem analysis and leverage data streaming for real-time performance monitoring and decision-making. By streaming performance data, applications can provide immediate feedback, enabling dynamic adjustments and optimizations during execution. Furthermore, this streamed data can be directed to individual scientist workstations, facilitating on-the-fly health checks and user-driven interventions to steer the application’s behavior. We will demonstrate the practical application of these concepts within the ADIOS2 library, showcasing how data streaming enables detailed monitoring and analysis of an HPC application during large-scale runs.

Link to the event: https://events.linuxfoundation.org/hpsf-conference/program/schedule
Link to my talk and slides: https://hpsf2025.sched.com/event/223Sg/real-time-performance-characterization-of-the-adios2-library-when-kokkos-is-enabled-ana-gainaru-oak-ridge-national-laboratory