Do you know if your system performance has dropped since the last update? For many administrators and developers, this is a surprisingly hard question to answer.
Continuous benchmarks might run in the background, but if the results are buried in text logs, CI/CD artifacts, or scattered repositories, critical issues go unnoticed until it is too late.
We present a solution to this visibility gap: a centralised, automated dashboard built within LLview, an open-source reporting platform [1].
Our framework takes a novel approach by separating the execution of benchmarks from their visualisation. This allows you to run tests wherever you prefer—on HPC clusters, cloud runners, or even quantum hardware—while the dashboard automatically “pulls” the results into a unified view.
By using simple but generic configuration files, you define exactly what to measure and how to plot it, without writing a single line of frontend code.
In this talk, we demonstrate how this flexible tool is used to track standard performance metrics on supercomputers and, notably, to monitor the stability of Quantum Processor Units (QPU).
We show how the same framework allows operators to track qubit gate fidelity and error rates over time just as easily as memory bandwidth. We present how easy you can turn scattered logs into interactive insights, empowering both operators to maintain system health and users to verify application stability.
[1] http://llview.fz-juelich.de
Authors: F. S. M. Guimarães, P. Steinbach, T. Breuer, W. Frings, A. K. Karnad, C. D. Gonzalez Calaza (Jülich Supercomputing Centre, Forschungszentrum Jülich)
Presenter at HPCKP26 Barcelona: T. Breuer (Jülich Supercomputing Centre, Forschungszentrum Jülich)
