How to create AWS ParallelCluster with Slurm scheduler: Difference between revisions
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: Note 1: Replace '''mycluster''' with the previously create cluster name | : Note 1: Replace '''mycluster''' with the previously create cluster name | ||
: Note 2: Replace '''/path/to/keyfile.pem''' with the actual path and key file name | : Note 2: Replace '''/path/to/keyfile.pem''' with the actual path and key file name | ||
* Run the command below to verify the state of the cluster: | |||
: '''qinfo''' | |||
== Connecting to the HPC cluster (from Windows Machine) == | |||
* Download '''puttygen.exe''' from: | |||
: http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html | |||
* Run the '''puttygen.exe''' | |||
* Click on “Load” -> change the file extension from “Putty Private key files” to “All Files” -> locate the private key pair and click on Open -> click on OK -> click on “Save private key” -> click on “Yes” -> save the private key file with PPK extension -> close '''puttygen.exe''' | |||
* Download '''Putty''' from: | |||
: https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html | |||
* Run '''putty.exe''' | |||
* From the left pane, under “Connection” -> expand SSH -> click on “Auth” -> from the main pane, under “Authentication parameters”, click on “Browse” -> locate the SSH private key generated by '''puttygen.exe''' | |||
* From the left pane, click on “Session” -> from the main pane, under “Host Name (or IP address)” specify the following: | |||
: '''user@IP_Address''' | |||
: Note 1: Replace '''user''' with the previously documented '''ClusterUser''' value | |||
: Note 2: Replace '''IP_Address''' with the previously documented '''MasterPublicIP''' | |||
* Under “Saved Sessions”, specify a name for this newly created connection. | |||
* Click on Save | |||
* Click on Open | |||
* Run the command below to verify the state of the cluster: | * Run the command below to verify the state of the cluster: | ||
: '''qinfo''' | : '''qinfo''' |
Revision as of 06:14, 4 July 2019
Environment preparation phase within AWS Management Console
- Login the AWS IAM console:
- From the left pane, click on Policies -> click on Users -> Add User -> specify the name parallelcluster-user -> Access type: Programmatic access -> click Next: Permissions -> Set permissions -> select a group with “AdministratorAccess” role -> click Next: Tags -> click Next: Review -> click on Create user -> click on Download .csv and keep it in a secured location -> click on Close
- Follow the instructions below to create a key pair to access the cluster machines:
- Follow the instructions below to create S3 bucket (with unique name) for storing data to export and import data to/from the FSx Lustre storage:
- https://docs.aws.amazon.com/AmazonS3/latest/gsg/CreatingABucket.html
- Note 1: Document the S3 bucket name for use inside the ParallelCluster config file
- Note 2: Create a folder called export (in small letters), inside the S3 bucket
- In-case you wish to create a dedicate VPC and subnet for the HPC cluster, follow the instructions below:
- Logoff the AWS console
Python installation phase on Linux (Debian / Ubuntu)
- Login to a Linux machine using SSH, and follow the instructions below to install Python 3:
- https://docs.aws.amazon.com/cli/latest/userguide/install-linux-python.html
- Note: In-case you already have Python 3 install, use the command below to upgrade to the latest build:
- sudo apt-get upgrade python3
- To install pip3, run the command below:
- sudo apt install python3-pip
Python installation phase on Windows
- Login to a Windows machine using privileged account, and follow the instructions below to install Python 3 and PIP:
AWS ParallelCluster installation phase
- Run the commands below to install the AWS ParallelCluster:
- Linux:
- sudo pip install aws-parallelcluster
- Windows:
- pip install aws-parallelcluster
- Run the command below to verify the installed version:
- pcluster version
- Follow the instructions below to install the AWS CLI:
- Run the command below in-order to configure AWS CLI:
- aws configure
- AWS Access Key ID – Specify the value from the CSV of the previously created IAM user parallelcluster-user
- AWS Secret Access Key – Specify the value from the CSV of the previously created IAM user parallelcluster-user
- Default region name – specify a region such as eu-west-1
- Default output format: JSON
- Run the command below to setup the initial configuration:
- pcluster configure
- Cluster Template: Specify here a custom name for the HPC template (such as HPC Cluster)
- AWS Region ID: Specify the same region you specified for the aws configure command (such as eu-west-1)
- VPC Name: Specify the same name as the Cluster Template (such as HPC Cluster)
- Key Name: Specify the name of the EC2 Key pair previously created
- VPC ID: Specify the name of the target VPC ID to deploy the HPC cluster into
- Note: The full list of VPC’s can be found within the AWS management console: https://console.aws.amazon.com/vpc
- Master Subnet ID: Specify here the name of the target subnet ID to deploy the HPC cluster into
- Note: The full list of subnets can be found within the AWS management console: https://console.aws.amazon.com/vpc
- Edit the ParallelCluster config file:
- Linux: The file is located inside ~/.parallelcluster/config
- Windows: The file is located inside %UserProfile%\.parallelcluster\config
- Add the following parameters to the [cluster] section (for a large cluster):
- base_os = centos7
- master_instance_type = c5n.xlarge
- compute_instance_type = c5n.18xlarge
- cluster_type = ondemand
- initial_queue_size = 2
- scheduler = slurm
- placement_group = DYNAMIC
- enable_efa = compute
- fsx_settings = fs
- Note: For small cluster, add the following parameters to the [cluster] section:
- base_os = centos7
- master_instance_type = m4.large
- compute_instance_type = m4.large
- cluster_type = ondemand
- initial_queue_size = 2
- max_queue_size = 3
- scheduler = slurm
- placement_group = DYNAMIC
- fsx_settings = fs
- Add the following entire section to the config file:
- [fsx fs]
- shared_dir = /fsx
- storage_capacity = 3600
- imported_file_chunk_size = 1024
- export_path = s3://bucket/export
- import_path = s3://bucket
- weekly_maintenance_start_time = 1:00:00
- Note 1: The storage_capacity is the size of the FSx Lustre storage in GB
- Note 2: Replace the value of bucket with the previously S3 bucket name
- Run the command below to deploy the new cluster:
- pcluster create mycluster
- Note: Replace mycluster with your target HPC cluster name (without spaces)
- Go to the CloudFormation console to view the deployment status:
- Wait for the cluster deployment to complete.
- Document the MasterPublicIP and ClusterUser.
Connecting to the HPC cluster (from Linux Machine)
- Run the command below to connect using SSH to the master server:
- pcluster ssh mycluster -i /path/to/keyfile.pem
- Note 1: Replace mycluster with the previously create cluster name
- Note 2: Replace /path/to/keyfile.pem with the actual path and key file name
- Run the command below to verify the state of the cluster:
- qinfo
Connecting to the HPC cluster (from Windows Machine)
- Download puttygen.exe from:
- Run the puttygen.exe
- Click on “Load” -> change the file extension from “Putty Private key files” to “All Files” -> locate the private key pair and click on Open -> click on OK -> click on “Save private key” -> click on “Yes” -> save the private key file with PPK extension -> close puttygen.exe
- Download Putty from:
- Run putty.exe
- From the left pane, under “Connection” -> expand SSH -> click on “Auth” -> from the main pane, under “Authentication parameters”, click on “Browse” -> locate the SSH private key generated by puttygen.exe
- From the left pane, click on “Session” -> from the main pane, under “Host Name (or IP address)” specify the following:
- user@IP_Address
- Note 1: Replace user with the previously documented ClusterUser value
- Note 2: Replace IP_Address with the previously documented MasterPublicIP
- Under “Saved Sessions”, specify a name for this newly created connection.
- Click on Save
- Click on Open
- Run the command below to verify the state of the cluster:
- qinfo