Outcome#
You can add an explicit concurrency cap, validate one representative task, calculate aggregate resources across overlapping submissions, and cancel failed or duplicate arrays.
Concept#
Array size is not concurrency. An uncapped array can make many tasks eligible simultaneously, and several individually capped arrays can still exceed a safe aggregate request.
Worked Example#
The deterministic parser accepts the bounded array and no command submits it to Euler.
A correct example uses these decisions:
- What does %4 mean in --array=0-31%4? At most four array tasks may run concurrently.
- Which placeholders distinguish array logs? %A for the parent job and %a for the task index.
Common Trap#
Submitting a large array before adding %N, or using %j so tasks overwrite or obscure one another.
If Blocked#
Reduce the cap to %1 and validate a representative input. If many tasks fail
identically, cancel the array and debug one task. Use the
job arrays lab for dependent or
heterogeneous workloads.
Useful references:
Understand Before Accepting AI Output#
Calculate concurrency yourself and include other submissions. A personal or lab limit is a ceiling, not a target for an agent to consume.