Projecting Performance Data Over Simulation Geometry
Using SOSflow and Alpine
Author/Presenters
Event Type
Workshop
Data Analytics
Performance
Visualization
TimeFriday, November 17th11:10am -
11:35am
Location301
DescriptionThe performance of HPC simulation codes is often tied
to their simulated domains; e.g., properties of the
input decks, boundaries of the underlying meshes, and
parallel decomposition of the simulation space. A
variety of research efforts have demonstrated the
utility of projecting performance data onto the
simulation geometry to enable analysis of these kinds of
performance problems. However, current methods to do so
are largely ad-hoc and limited in terms of extensibility
and scalability. Furthermore, few methods enable this
projection online, resulting in large storage and
processing requirements for offline analysis. We present
a general, extensible, and scalable solution for in-situ
(online) visualization of performance data projected
onto the underlying geometry of simulation codes. Our
solution employs the scalable observation system SOSflow
with the in-situ visualization framework ALPINE to
automatically extract simulation geometry and stream
aggregated performance metrics to respective locations
within the geometry at runtime. Our system decouples the
resources and mechanisms to collect, aggregate, project,
and visualize the resulting data, thus mitigating
overhead and enabling online analysis at large scales.
Furthermore, our method requires minimal user input and
modification of existing code, enabling general and
widespread adoption.
