Watch jobs as they run
Follow CPU, memory, disk, network and GPU metrics without waiting for the final report.
Resource insight for research computing
Your scheduler knows what you requested. HPC Dashboard shows what happened: where your cores, memory and GPUs went, while the job runs and after it finishes.
Free desktop app · macOS, Windows & Linux · Gadi / PBS today
THE QUESTION BEHIND THE BILL
A single average cannot tell you what to change. Were some cores fully busy while others sat idle? Or was every core waiting on I/O? Those lead to very different next runs.
Explore the advice guideSome cores do the work. The rest barely move.
All cores are active at a similar, lower level.
Same job-level average. Different decisions.
FROM TELEMETRY TO A DECISION
Read your job at a glance, then follow the evidence down to individual cores and nodes.
Follow CPU, memory, disk, network and GPU metrics without waiting for the final report.
See how work was distributed across cores and nodes, beyond a single average.
Turn usage into a better resource request, with NCI charging rules in mind.
Check whether a code or configuration change made a measurable difference.
A SHORT PATH TO YOUR FIRST CHART
The app reads telemetry files over your SSH connection or a local mount. It does not submit, cancel or modify jobs.
Load logger-rs and mark the workload you want measured in your PBS script.
Download HPC Dashboard and add a profile for the directory where your logs land.
Inspect live charts, read the finished summary, compare runs and plan your next request.
# Inside your PBS job script
module load logger-rs
source logger-rs.sh
telemetry_start
mpirun -np "$PBS_NCPUS" ./my_model
telemetry_stopModule paths and storage directives vary by site. See the guide before your first run.
READY TO SEE THE FULL PICTURE?
Download the latest release, then follow the quick setup guide to start collecting useful evidence from your jobs.
Available for macOS, Windows and Linux. Check the installation guide for current signing notes.