AWS ParallelCluster - HPC for the Cloud
AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch, SGE, Torque, and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. You can build higher level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster.
IMPORTANT: you will need an Amazon EC2 Key Pair to be able to complete the following steps. Please see the Official AWS Guide.
First, make sure you have installed the AWS Command Line Interface:
$ pip install awscli
Then you can install AWS ParallelCluster:
$ pip install aws-parallelcluster
Next, configure your aws credentials and default region:
$ aws configure AWS Access Key ID [None]: YOUR_KEY AWS Secret Access Key [None]: YOUR_SECRET Default region name [us-east-1]: Default output format [None]:
pcluster configure. A list of valid options will be displayed for each
configuration parameter. Type an option number and press
Enter to select a specific option,
or just press
Enter to accept the default option.
$ pcluster configure INFO: Configuration file /dir/conf_file will be written. Press CTRL-C to interrupt the procedure. Allowed values for AWS Region ID: 1. eu-north-1 ... 15. us-west-1 16. us-west-2 AWS Region ID [us-east-1]: ...
Be sure to select a region containing the EC2 key pair you wish to use. You can also import a public key using these instructions.
During the process you will be asked to set up your networking environment. The wizard will offer you the choice of using an existing VPC or creating a new one on the fly.
Automate VPC creation? (y/n) [n]:
n' if you already have a VPC suitable for the cluster. Otherwise you can let
create a VPC for you. The same choice is given for the subnet: you can select a valid subnet ID for
both the master and compute nodes, or you can let
pcluster configure set up everything for you.
The same choice is given for the subnet configuration: you can select a valid subnet ID for both
the master and compute nodes, or you can let pcluster configure set up everything for you.
In the latter case, just select the configuration you prefer.
Automate Subnet creation? (y/n) [y]: y Allowed values for Network Configuration: 1. Master in a public subnet and compute fleet in a private subnet 2. Master and compute fleet in the same public subnet
At the end of the process a message like this one will be shown:
Configuration file written to /dir/conf_file You can edit your configuration file or simply run 'pcluster create -c /dir/conf_file cluster-name' to create your cluster
Now you can create your first cluster:
$ pcluster create myfirstcluster
After the cluster finishes creating, log in:
$ pcluster ssh myfirstcluster
You can view the running compute hosts:
For more information on any of these steps see the Getting Started Guide.
We've been working hard to greatly improve the Documentation, it's now published in 10 languages, one of the many benefits of being hosted on AWS Docs. Of most interest to new users is the Getting Started Guide.
If you have changes you would like to see in the docs, please either submit feedback using the feedback link at the bottom of each page or create an issue or pull request for the project at: https://github.com/awsdocs/aws-parallelcluster-user-guide.
Please open a GitHub issue for any feedback or issues: https://github.com/aws/aws-parallelcluster. There is also an active AWS HPC forum which may be helpful: https://forums.aws.amazon.com/forum.jspa?forumID=192.
CfnCluster to AWS ParallelCluster
In Version 2.0.0, we changed the name of CfnCluster to AWS ParallelCluster. With that name change we released several new features, which you can read about in the Change Log.