bin-pack-scheduler: MostAllocated secondary scheduler module#828
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georgehong
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zxiiro
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Stack from [ghstack](https://github.com/ezyang/ghstack/tree/0.14.0) (oldest at bottom): * pytorch#830 * __->__ pytorch#829 * pytorch#828 Add an optional scheduler_name, set per runner def or cluster-wide via arc-runners.scheduler_name in clusters.yaml (per-def wins; blank = default scheduler). generate_runners.py stamps it on both the workflow pod and the listener's CAPACITY_AWARE_WORKFLOW_SCHEDULER_NAME, so the pod and its ph-w-* placeholder use the same scheduler.
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Stack from [ghstack](https://github.com/ezyang/ghstack/tree/0.14.0) (oldest at bottom): * __->__ pytorch#830 * pytorch#829 * pytorch#828 Add bin-pack-scheduler to the meta-staging-aws-ue1 module list so it deploys to staging. Split from the module (pytorch#803) and the scheduler_name knob (pytorch#804) so turning it on is its own revertible switch.
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Stack from ghstack (oldest at bottom):
EKS's managed kube-scheduler scores LeastAllocated (spread) and can't be
reconfigured, so add a stock kube-scheduler as a secondary scheduler with
NodeResourcesFit: MostAllocated. Pods that set spec.schedulerName:
bin-pack-scheduler get packed onto the fullest node. Pure-kustomize module in
kube-system (config, RBAC, leader-elected Deployment, smoke tests); inert until
a pod opts in.