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Copy file name to clipboardExpand all lines: README.md
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* You can learn about ParallelCluster from this [quick explainer video](https://youtu.be/gmw7A3kOh60).
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*[This video](https://www.youtube.com/watch?v=2Nku6MWDwT0) introduces Research and Engineering Studio on AWS.
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* Discover recipes to help you [get started with AWS PCS](recipes/pcs/)
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* Try launching an HPC cluster in the cloud [with just a few clicks](recipes/pcluster/latest/README.md).
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* Try launching a HPC cluster in the cloud [with just a few clicks](recipes/pcs/getting_started/README.md).
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* Need to set up HPC-ready networking? Choose from a [simple example](recipes/net/hpc_basic/README.md) or a [more advanced configuration](recipes/net/hpc_large_scale/README.md).
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* There are also examples of setting up HPC-ready filesystems on AWS [for you to try and learn from](recipes/README.md#arrow_right-storage-storage).
Copy file name to clipboardExpand all lines: recipes/pcluster/nist_800_223/README.md
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Architecture diagrams below show sample NIST 800-223 based architecture, provisoning and deployment process using cloudformation, HPC Cluster deployment, and user interactions via AWS ParallelCluster. Depending on the region you deploy the recipe in, it will automatically scale to from 2-4 AZs in order to maximize availability and redundancy of your cluster.
11. Navigate to the location on your local computer where you clone the repo too and go to the deployment folder. There you will find the CloudFormation templates prefaced with a number that will indicate the order to execute them in.
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12. Select the first template titled "0_network.yaml"
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13. For each template you will be asked to provide a Stack name, this name must be a unique stack name for the region you are deploying in.
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1. Navigate to the location on your local computer where you clone the repo too and go to the deployment folder. There you will find the CloudFormation templates prefaced with a number that will indicate the order to execute them in.
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2. Select the first template titled "0_network.yaml"
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3. For each template you will be asked to provide a Stack name, this name must be a unique stack name for the region you are deploying in.
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***Important: The stack name should be noted for use in later templates. Downstream services will need to know this stack name in order to reference Amazon Resource Names (ARNs) or resource IDs that will be exported/output for each template***
24. Repeat the steps above starting with step 7. moving on to the next stack in the deployment folder
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1. Repeat the steps above starting with step 7. moving on to the next stack in the deployment folder
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***Important: Stacks 1-5 will have a parameter that asks for the previous stack names. If you modify the stack names from the default values, you will need to also update the parameters in each subsequent stack with the appropriate name so that the relevant services can be referenced.***
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* Open CloudFormation console and verify the status of the template with the name starting with each of the names above.
Copy file name to clipboardExpand all lines: recipes/pcs/getting_started/README.md
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3. Follow the instructions in the AWS CloudFormation console:
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* (Optional) Customize the stack name.
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* Under **Parameters**
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* For **SlurmVersion** choose any available version of Slurm.
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* For **NodeArchitecture** choose either `x86` or `Graviton` for your login and compute node groups.
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* For **KeyName** choose an SSH key for connecting to the login nodes
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* Leave **AmiId** empty
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* For **ClientIpCidr**, either leave it as its default value or replace with a more restrictive CIDR range
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* Leave the parameters under **HPC Recipes configuration** as their default values.
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* Under **Capabilities and transforms**
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When you are done using your PCS cluster, you can delete it and all its associated resources by navigating to the AWS CloudFormation console and deleting the stack you created.
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**Note** If you have created additional compute node groups or queues in your cluster, beyond the `login` and `compute-1` groups created by the CloudFormation stack, you will need to delete those resources in the PCS console before deleting the CloudFormation stack.
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### Deprecation Notice
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Versions of this recipe released prior to 12/17/2024 use an AWS CloudFormation helper to manage the AWS PCS cluster. With the release of official CloudFormation support for PCS, this is no longer necessary. The file [pcs-cfn.yaml](assets/pcs-cfn.yaml), which provides this helper, will be deleted from this recipe on January 17, 2025.
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