Update documentation about non-deterministic diameter with multiple workers #942
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lemmy
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Jun 12, 2024
| When using multiple workers on a medium-small model, the reported <i>Diameter</i> might | ||
| differ across runs. | ||
| This is a limitation we accept to avoid putting additional synchronization that would limit | ||
| the scalability of the visit. For small models, use a single worker. For large models, |
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Perhaps just "that would limit scalability"?
lemmy
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Jun 12, 2024
| @@ -96,6 +101,8 @@ <h3><a name="model-mode">Model-checking mode</a></h3> | |||
| queue, so it does not produce any | |||
| <i>Diameter</i> or <i>Queue size</i> | |||
| statistics. | |||
| Additionally, <em>Depth-first</em> option doesn't currently | |||
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The confusion typically comes from the fact that TLC does not plain depth-first but depth-first iterative deepening (DFID). We should consistently call it by its full name.
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Thanks for the insight! I've updated the paragraph.
lemmy
reviewed
Jun 12, 2024
general/docs/current-tools.md
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| @@ -30,6 +30,10 @@ ISpec == IM!Spec | |||
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| TLC cannot handle natural numbers greater than 2<sup>31</sup> - 1. | |||
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| When running the model checking in BFS mode with multiple workers on a medium-small model, the reported diameter might differ across runs. | |||
| This is a limitation we accept to avoid putting additional synchronization that would limit the scalability of the visit. | |||
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Perhaps just "that would limit scalability"?
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Persist the learning from issue tlaplus#883. Diameter is non-deterministic when the BFS is run with multiple workers. Signed-off-by: Federico Ponzi <me@fponzi.me>
lemmy
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Jun 12, 2024
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Persist the learning from issue #883. Diameter is non-deterministic when the BFS is run with multiple workers.