A computational project often cycles through data preparation, changes to code, execution, checking outputs and writing results. A delayed run can affect figures and submissions. BenchCadence is a calendar for the dates and follow-ups around that work, not a cluster scheduler, code repository or experiment-tracking database.
Four practical ways to plan this research workflow
1Record execution and review separately
Schedule a run, its log review, comparisons and fallback time as distinct activities. Do not assume a run will finish when planned.
2Keep provenance in specialist tools
Use an experiment ID and version reference on the calendar. Keep parameters, code and datasets in Git, a lab notebook or a suitable tracking system; never save credentials in a calendar event.
3Make reproducibility a scheduled activity
Reserve time to check datasets, seeds, baselines, environment assumptions and reproducibility before drafting a paper or presenting results.
4Include the publication workflow
Plan figures, writing, co-author reviews, seminar deadlines and conference submissions — not just computation and model training.
Example timeline (illustrative)
| When | Task | Check |
|---|---|---|
| Day 1 | Prepare and split data | Verify data permissions and versions |
| Day 2 | Review code and configuration | Track changes in Git |
| Day 3 | Start compute run; check logs | Confirm compute availability separately |
| Day 4 | Compare baselines and repeatability | Record important differences |
| Day 5 | Draft figures and review findings | Keep a buffer for reruns |
BenchCadence does not execute compute jobs, reserve clusters, manage collaboration or store data provenance. Use established research systems and security controls for those activities.
Frequently asked questions
Will it submit my jobs to a GPU cluster?
No. Record start times and review checkpoints, but run and monitor the work in your cluster scheduler.
Does it replace an electronic lab notebook?
No. It is for deadlines and schedules. Keep scientific records, code and data in appropriate research tools.