mirror of
https://github.com/ClusterCockpit/cc-backend
synced 2026-08-31 08:57:14 +02:00
moebiusbandandClaude Opus 5
668a5bf877
The shipped examples had drifted from the code that parses them: - configs/cluster.json was still in the pre-v3 format: no top-level "name", "numberOfNodes" instead of the required "nodes" node-list expression, plain numbers instead of MetricValue objects for flopRateScalar/flopRateSimd/ memoryBandwidth, unit strings instead of unit objects, "aggregation": null, and hwthread 72 missing from the core topology. It neither validated against cluster.schema.json nor decoded into schema.Cluster. Rewritten in the current format and extended with the accelerator metrics the GPU subclusters need. - archive.retention.location is not a field of taskmanager.Retention. That decode is not strict, so the key was silently dropped and a "move" policy ran with an empty target path. Replaced with target-kind/target-path. - "ui-file" pointed at ui-config.json while the shipped file is uiConfig.json, so ccConfig logged a load error and the UI fell back to defaults. - Added the options introduced since the examples were written: checkpoint file-format/interval/max-wal-size, api-subjects concurrency, db-config, nodestate-retention, archive retention/compression, smoothing-window and the resample policy/algo defaults. The config written by -init had no metric-store section, so a server started right after -init aborted with "missing metricstore configuration". internal/configexample guards all of this: it resolves "-file" references the way ccConfig does, strict-decodes every section into the struct that actually parses it, and validates the cluster configs against the cc-lib schema. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
351 lines
13 KiB
JSON
351 lines
13 KiB
JSON
{
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"name": "alex",
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"metricConfig": [
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{
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"name": "cpu_load",
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"unit": {
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"base": ""
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},
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"scope": "node",
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"aggregation": "avg",
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"footprint": "avg",
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"timestep": 60,
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"peak": 128,
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"normal": 128,
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"caution": 10,
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"alert": 5
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},
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{
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"name": "cpu_user",
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"unit": {
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"base": ""
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},
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"scope": "hwthread",
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"aggregation": "avg",
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"timestep": 60,
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"peak": 100,
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"normal": 50,
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"caution": 20,
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"alert": 10
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},
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{
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"name": "mem_used",
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"unit": {
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"base": "B",
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"prefix": "G"
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},
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"scope": "node",
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"aggregation": "sum",
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"footprint": "max",
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"lowerIsBetter": true,
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"timestep": 60,
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"peak": 512,
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"normal": 128,
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"caution": 200,
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"alert": 240
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},
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{
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"name": "flops_any",
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"unit": {
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"base": "F/s",
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"prefix": "G"
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},
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"scope": "hwthread",
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"aggregation": "sum",
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"footprint": "avg",
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"timestep": 60,
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"peak": 9216,
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"normal": 1000,
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"caution": 200,
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"alert": 50
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},
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{
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"name": "mem_bw",
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"unit": {
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"base": "B/s",
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"prefix": "G"
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},
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"scope": "socket",
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"aggregation": "sum",
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"footprint": "avg",
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"timestep": 60,
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"peak": 350,
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"normal": 100,
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"caution": 50,
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"alert": 10
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},
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{
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"name": "clock",
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"unit": {
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"base": "Hz",
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"prefix": "M"
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},
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"scope": "hwthread",
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"aggregation": "avg",
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"timestep": 60,
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"peak": 3000,
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"normal": 2400,
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"caution": 1800,
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"alert": 1200
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},
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{
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"name": "core_power",
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"unit": {
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"base": "W"
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},
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"scope": "hwthread",
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"aggregation": "sum",
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"energy": "power",
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"timestep": 60,
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"peak": 500,
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"normal": 250,
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"caution": 100,
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"alert": 50
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},
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{
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"name": "cpu_power",
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"unit": {
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"base": "W"
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},
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"scope": "socket",
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"aggregation": "sum",
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"energy": "power",
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"timestep": 60,
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"peak": 500,
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"normal": 250,
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"caution": 100,
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"alert": 50
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},
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{
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"name": "ipc",
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"unit": {
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"base": "IPC"
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},
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"scope": "hwthread",
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"aggregation": "avg",
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"timestep": 60,
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"peak": 4,
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"normal": 2,
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"caution": 1,
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"alert": 0.5
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},
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{
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"name": "acc_utilization",
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"unit": {
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"base": ""
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},
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"scope": "accelerator",
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"aggregation": "avg",
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"footprint": "avg",
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"timestep": 60,
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"peak": 100,
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"normal": 80,
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"caution": 50,
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"alert": 20
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},
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{
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"name": "acc_mem_used",
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"unit": {
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"base": "B",
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"prefix": "G"
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},
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"scope": "accelerator",
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"aggregation": "sum",
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"timestep": 60,
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"peak": 48,
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"normal": 24,
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"caution": 10,
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"alert": 5,
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"subClusters": [
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{
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"name": "a100",
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"peak": 40,
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"normal": 20,
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"caution": 10,
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"alert": 5
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}
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]
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},
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{
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"name": "acc_power",
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"unit": {
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"base": "W"
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},
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"scope": "accelerator",
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"aggregation": "sum",
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"energy": "power",
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"timestep": 60,
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"peak": 400,
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"normal": 200,
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"caution": 50,
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"alert": 20
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}
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],
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"subClusters": [
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{
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"name": "a40",
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"nodes": "a[0121-0129],a[0221-0229],a[0321-0329],a[0421-0429]",
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"processorType": "AMD Milan",
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"socketsPerNode": 2,
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"coresPerSocket": 64,
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"threadsPerCore": 1,
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"flopRateScalar": {
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"unit": {
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"base": "F/s",
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"prefix": "G"
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},
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"value": 432
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},
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"flopRateSimd": {
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"unit": {
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"base": "F/s",
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"prefix": "G"
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},
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"value": 9216
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},
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"memoryBandwidth": {
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"unit": {
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"base": "B/s",
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"prefix": "G"
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},
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"value": 400
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},
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"topology": {
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"socket": [
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],
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"memoryDomain": [
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],
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"accelerators": [
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{
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"id": "00000000:01:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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},
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{
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"id": "00000000:25:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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"id": "00000000:41:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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},
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{
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"id": "00000000:61:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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},
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{
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"id": "00000000:81:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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},
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{
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"id": "00000000:A1:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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},
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{
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"id": "00000000:C1:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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},
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{
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"id": "00000000:E1:00.0",
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"type": "Nvidia GPU",
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"model": "A40"
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}
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]
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}
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},
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{
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"name": "a100",
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"nodes": "a[0601-0605],a[0701-0705],a[0801-0805],a[0901-0905]",
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"processorType": "AMD Milan",
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"socketsPerNode": 2,
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"coresPerSocket": 64,
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"threadsPerCore": 1,
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"flopRateScalar": {
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"unit": {
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"base": "F/s",
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"prefix": "G"
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},
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"value": 432
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},
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"flopRateSimd": {
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"unit": {
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"base": "F/s",
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"prefix": "G"
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},
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"value": 9216
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},
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"memoryBandwidth": {
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"unit": {
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"base": "B/s",
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"prefix": "G"
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},
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"value": 400
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},
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"topology": {
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],
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"memoryDomain": [
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],
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"accelerators": [
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{
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"id": "00000000:13:00.0",
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"id": "00000000:4F:00.0",
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"id": "00000000:90:00.0",
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"id": "00000000:96:00.0",
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"id": "00000000:CC:00.0",
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"type": "Nvidia GPU",
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"model": "A100"
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},
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{
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"id": "00000000:D1:00.0",
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"type": "Nvidia GPU",
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"model": "A100"
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}
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]
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}
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}
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]
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}
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