Parallelize per-resource-group session scheduling
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- Dominant language
- Python
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Description
Just an idea to parallelize per-resource-group session scheduling, using different lock IDs (currently advisory locks) based on the hash of resource group names, assuming that all enqueued sessions have an explicit resource group mapping (lablup/backend.ai-manager#472 ensures this!).
JIRA Issue: BA-281
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