Add draft gpu troubles #290
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perifaws
requested changes
Apr 30, 2024
| scancel [JOB_ID] | ||
| ``` | ||
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| 1. Reset the GPUs |
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Add a link to the reset option for nvidia-smi
| sudo /opt/slurm/bin/scontrol create res starttime=now duration=infinite flags=ignore_jobs user=root nodes=[NODE_TO_TERMINATE] | ||
| ``` | ||
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| 1. Cancel |
| The node will have a **DRAIN** status. Then the instance will be terminated and replaced. | ||
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| 1. Delete the reservation |
| scancel [JOB_ID] | ||
| ``` | ||
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| 1. Place the node in **DRAIN**. |
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node to terminate is an IP or name?
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| 1. Create a reservation to isolate the node from being used by any jobs. | ||
| ```bash | ||
| sudo /opt/slurm/bin/scontrol create res starttime=now duration=infinite flags=ignore_jobs user=root nodes=[NODE_TO_TERMINATE] |
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what NODE_TO_TERMINATE should be?
| | 95 | Uncontained ECC error | Reset GPUs | [AWS ParallelCluster](#reset-gpus) | | ||
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| # AWS ParallelCluster | ||
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reference to ParallelCluster doc?
| While running High-Performance Computing or Machine Learning workloads, GPUs may fail for various reasons captured by Xid messages. | ||
| Those messages are placed in `/var/log/messages` for Amazon Linux or for Ubuntu in `/var/log/syslog` and `/var/log/kern.log` | ||
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| | Xid | Failure | Resolution | Orchestrator | |
| ``` | ||
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| ## Reset GPUs | ||
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Say that resetting does and what NODE_TO_TERMINATE represents (or how to get it)
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| 1. Delete the reservation | ||
| ```bash | ||
| sudo /opt/slurm/bin/scontrol delete res root_[RES_NUMBER] |
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| # Amazon SageMaker HyperPod | ||
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| TBD |
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looks good - plan to create a new PR for HyperPod instructions after p-cluster is merged. |
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