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Update introduction into README's
Signed-off-by: Luca Carrogu <[email protected]>
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README.rst

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.. |Version| image:: https://badge.fury.io/py/aws-parallelcluster.png
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:target: https://badge.fury.io/py/aws-parallelcluster
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AWS ParallelCluster is a framework that deploys and
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maintains high performance computing clusters on Amazon Web Services
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(AWS). Developed by AWS, AWS ParallelCluster facilitates both quick start proof
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of concepts (POCs) and production deployments. AWS ParallelCluster supports
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many different types of clustered applications and can easily be
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extended to support different frameworks. The CLI is stateless,
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everything is done using CloudFormation or resources within AWS.\
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AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and
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manage High Performance Computing (HPC) clusters in the AWS cloud.
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Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS.
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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.
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AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments.
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You can build higher level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster.\
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Quick Start
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cli/README

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pcluster is a tool to launch and manage HPC clusters on AWS.
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AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and
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manage High Performance Computing (HPC) clusters in the AWS cloud.
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Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS.
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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.
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AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments.
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You can build higher level workflows, such as a Genomics portal that automates the entire DNA sequencing workflow, on top of AWS ParallelCluster.
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usage: pcluster [-h]
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{create,update,delete,start,stop,status,list,instances,ssh,configure,version,createami}
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update update a running cluster
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delete delete a cluster
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start start the compute fleet that has been stopped
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stop stop the compute fleet, but leave the master server
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running for debugging/development
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stop stop the compute fleet, but leave the master server running for debugging/development
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status pull the current status of the cluster
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list display a list of stacks associated with AWS ParallelCluster
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instances display a list of all instances in a cluster

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