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Merged
dmitsh merged 1 commit into from
Mar 24, 2025
Merged

update topology labels #119

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2 changes: 1 addition & 1 deletion resources/benchmarks/nwtopo/templates/jobset/jobset-acc.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ spec:
operator: In
values:
- {{._NAME_}}
topologyKey: network.topology.kubernetes.io/accelerator
topologyKey: network.topology.nvidia.com/accelerator
containers:
- name: test
image: ubuntu
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4 changes: 2 additions & 2 deletions resources/benchmarks/nwtopo/templates/jobset/jobset.yaml
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Expand Up @@ -53,7 +53,7 @@ spec:
operator: In
values:
- {{._NAME_}}
topologyKey: network.topology.kubernetes.io/spine
topologyKey: network.topology.nvidia.com/spine
- weight: 90
podAffinityTerm:
labelSelector:
Expand All @@ -62,7 +62,7 @@ spec:
operator: In
values:
- {{._NAME_}}
topologyKey: network.topology.kubernetes.io/block
topologyKey: network.topology.nvidia.com/block
containers:
- name: test
image: ubuntu
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4 changes: 2 additions & 2 deletions resources/benchmarks/nwtopo/templates/runai/mpijob.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ spec:
operator: In
values:
- {{._NAME_}}
topologyKey: network.topology.kubernetes.io/spine
topologyKey: network.topology.nvidia.com/spine
- weight: 90
podAffinityTerm:
labelSelector:
Expand All @@ -60,7 +60,7 @@ spec:
operator: In
values:
- {{._NAME_}}
topologyKey: network.topology.kubernetes.io/block
topologyKey: network.topology.nvidia.com/block
schedulerName: runai-scheduler
containers:
- image: runai/mpi-worker:latest
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96 changes: 48 additions & 48 deletions resources/benchmarks/nwtopo/workflows/config-nodes-acc.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -38,108 +38,108 @@ tasks:
count: 1
labels:
node-id: n1
network.topology.kubernetes.io/accelerator: nvl1
network.topology.kubernetes.io/block: sw11
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl1
network.topology.nvidia.com/block: sw11
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n2
network.topology.kubernetes.io/accelerator: nvl1
network.topology.kubernetes.io/block: sw11
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl1
network.topology.nvidia.com/block: sw11
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n3
network.topology.kubernetes.io/accelerator: nvl1
network.topology.kubernetes.io/block: sw11
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl1
network.topology.nvidia.com/block: sw11
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n4
network.topology.kubernetes.io/accelerator: nvl1
network.topology.kubernetes.io/block: sw12
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl1
network.topology.nvidia.com/block: sw12
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n5
network.topology.kubernetes.io/accelerator: nvl1
network.topology.kubernetes.io/block: sw12
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl1
network.topology.nvidia.com/block: sw12
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n6
network.topology.kubernetes.io/accelerator: nvl1
network.topology.kubernetes.io/block: sw12
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl1
network.topology.nvidia.com/block: sw12
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n7
network.topology.kubernetes.io/accelerator: nvl2
network.topology.kubernetes.io/block: sw13
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl2
network.topology.nvidia.com/block: sw13
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n8
network.topology.kubernetes.io/accelerator: nvl2
network.topology.kubernetes.io/block: sw13
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl2
network.topology.nvidia.com/block: sw13
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n9
network.topology.kubernetes.io/accelerator: nvl2
network.topology.kubernetes.io/block: sw13
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl2
network.topology.nvidia.com/block: sw13
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n10
network.topology.kubernetes.io/accelerator: nvl2
network.topology.kubernetes.io/block: sw14
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl2
network.topology.nvidia.com/block: sw14
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n11
network.topology.kubernetes.io/accelerator: nvl2
network.topology.kubernetes.io/block: sw14
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl2
network.topology.nvidia.com/block: sw14
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n12
network.topology.kubernetes.io/accelerator: nvl2
network.topology.kubernetes.io/block: sw14
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/accelerator: nvl2
network.topology.nvidia.com/block: sw14
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
timeout: 5m
72 changes: 36 additions & 36 deletions resources/benchmarks/nwtopo/workflows/config-nodes.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -35,100 +35,100 @@ tasks:
count: 1
labels:
node-id: n1
network.topology.kubernetes.io/block: sw11
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw11
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n2
network.topology.kubernetes.io/block: sw11
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw11
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n3
network.topology.kubernetes.io/block: sw12
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw12
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n4
network.topology.kubernetes.io/block: sw12
network.topology.kubernetes.io/spine: sw21
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw12
network.topology.nvidia.com/spine: sw21
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n5
network.topology.kubernetes.io/block: sw13
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw13
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
net-optimal: true
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n6
network.topology.kubernetes.io/block: sw13
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw13
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n7
network.topology.kubernetes.io/block: sw14
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw14
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
net-optimal: true
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n8
network.topology.kubernetes.io/block: sw14
network.topology.kubernetes.io/spine: sw22
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw14
network.topology.nvidia.com/spine: sw22
network.topology.nvidia.com/datacenter: sw31
net-optimal: true
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n9
network.topology.kubernetes.io/block: sw15
network.topology.kubernetes.io/spine: sw23
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw15
network.topology.nvidia.com/spine: sw23
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n10
network.topology.kubernetes.io/block: sw15
network.topology.kubernetes.io/spine: sw23
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw15
network.topology.nvidia.com/spine: sw23
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n11
network.topology.kubernetes.io/block: sw16
network.topology.kubernetes.io/spine: sw23
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw16
network.topology.nvidia.com/spine: sw23
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
- type: dgxa100.80g
count: 1
labels:
node-id: n12
network.topology.kubernetes.io/block: sw16
network.topology.kubernetes.io/spine: sw23
network.topology.kubernetes.io/datacenter: sw31
network.topology.nvidia.com/block: sw16
network.topology.nvidia.com/spine: sw23
network.topology.nvidia.com/datacenter: sw31
nvidia.com/gpu.count: "8"
timeout: 5m
- id: update
Expand Down