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By climate-analytics-lab

7 skills found.
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1

Submit, monitor and benchmark jax-gcm (jcm) simulations on NCAR Derecho's PBS queues.

climate-analytics-lab/jax-gcm108—~2.5kAutomated safety check: PassApache-2.0yesterday
2

Run jcm on a Kubernetes GPU cluster — generate benchmark and production Job manifests, pick a comparable GPU, survive eviction, collect results.

climate-analytics-lab/jax-gcm108—~3.4kAutomated safety check: PassApache-2.0yesterday
3

Run jcm on the shared UCSD dev workstation (8x A100-80GB, no scheduler) — find a genuinely free GPU, avoid stomping on colleagues' jobs, environment and scratch paths, and the etiquette/traps…

climate-analytics-lab/jax-gcm108—~1.7kAutomated safety check: PassApache-2.0yesterday
4

Measure jcm throughput reproducibly — short (1 month) or long (12 month) runs on a validated stable config, with GPU memory/utilisation logging and an explicit convergence criterion.

climate-analytics-lab/jax-gcm108—~3.7kAutomated safety check: PassApache-2.0yesterday
5

End-to-end development workflow for jcm — atomic commits, the local test/lint gate, opening a PR linked to its issue, monitoring CI and the automatic Codex review, addressing feedback, and handing…

climate-analytics-lab/jax-gcm108—~3kAutomated safety check: PassApache-2.0yesterday
6

Run the jax-gcm CI gates locally on Derecho when GitHub Actions minutes are exhausted or a pre-push check is wanted — lint, fast tests (90% coverage), slow tests (80% PR coverage) and a local Claude…

climate-analytics-lab/jax-gcm108—~3kAutomated safety check: PassApache-2.0yesterday
7

Launch a jcm model run through the built-in Hydra configs — config groups, the validated stable T63L47 overrides, Hydra override traps, and watching for startup failures.

climate-analytics-lab/jax-gcm108—~2.1kAutomated safety check: PassApache-2.0yesterday