Ask in plain English
“Why is rank 42 stalling?” “Where is my MPI imbalance?” Seer’s AI interprets the question, then runs the right analysis to answer it.
A new way to understand your code. Seer launches targeted analysis pipelines to pinpoint performance issues in your app.
01/Product
Most profilers hand you a mountain of traces. Seer points to the bottleneck and tells you how to fix it.
“Why is rank 42 stalling?” “Where is my MPI imbalance?” Seer’s AI interprets the question, then runs the right analysis to answer it.
Every question is translated into a pipeline of novel, purpose-built analyses. You get the answer backed by evidence, visualizations, and annotations.
A Vista is Seer’s high-level view of your application, with drill-down into functions, ranks, and calls on demand.
Send a Vista to a collaborator the way you’d send a link. Review each other’s runs, point to a hotspot, and keep the conversation on the data.
Our data collector captures your application's call tree and trace data without requiring any modifications to your source code. And our web-based interface means no new software to install.
MPI, Kokkos, CUDA, OpenMP. Seer reads every source it can to build a full picture of your app.
02/How it works
Seer closes the loop between collection, analysis, and visualization so you spend time fixing, not searching.
Attach Seer’s collector to your run. Minimal overhead, no source changes or recompilation required.
Describe what you want to know in plain English. Seer’s AI turns the question into a concrete analysis plan.
Answers land in a Vista: interactive visualizations you can drill into, annotate, and share with your team.
03/Vistas
A Vista is your customizable analysis dashboard for a single run, composed of interactive visualizations built specifically for HPC data.
Start from the aggregate: execution timelines, node heatmaps, and communication maps sized for runs with thousands of ranks. No scrolling through complex traces to find the anomaly. We point you straight to it.
Click into any hotspot to expand function-level calls, per-rank traces, and the supporting analyses. Annotations from Seer’s AI explain what it found and why it flagged it.
04/Collaborators wanted
Of course it can! We’re looking for teams with real codes and real performance
problems.
Fill out the form below to get in touch with us.
University and lab teams exploring parallel performance on new architectures.
Application owners running at scale who need answers faster than a traditional profiler gives them.
Center and system teams supporting many users across many stacks.
Seer is funded by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, through the Small Business Innovation Research (SBIR) program. The WorkVisualizer prototype was developed under SBIR Phase I Award DE-SC-0024832.