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Hybrid HPC in Azure with HPC Pack

Microsoft HPC Pack is a free high performance computing (HPC) solution built on Microsoft Azure and Windows Server technologies. HPC Pack combines a comprehensive set of deployment, administration, job scheduling and monitoring tools for your Windows and Linux HPC cluster environment, providing a flexible platform for developing and running HPC applications on premises and in Azure.

This solution shows the process for using HPC Pack to create a hybrid (on-premises and Azure) HPC environment.

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Log into on-premises head node

Add Azure compute nodes to the cluster

Start the compute nodes

Submit jobs to the cluster

HPC Pack sends jobs to on-premises and Azure nodes based upon the node group selected

Monitor job progress

Stop the compute nodes or configure auto-scaling

  1. 1 Log into on-premises head node
  2. 2 Add Azure compute nodes to the cluster
  3. 3 Start the compute nodes
  4. 4 Submit jobs to the cluster
  1. 5 HPC Pack sends jobs to on-premises and Azure nodes based upon the node group selected
  2. 6 Monitor job progress
  3. 7 Stop the compute nodes or configure auto-scaling

Implementation guidance

Products/Description Documentation

Virtual Machines

Create Linux and Windows virtual machines in seconds.

Microsoft HPC Pack

Free high performance computing (HPC) solution built on Microsoft Azure and Windows Server technologies.

Product information

The links to the right provide documentation on deploying and managing for some of the products.

Related solution architectures

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Big compute with Azure Batch

Big compute and high performance computing (HPC) workloads are normally compute intensive and can be run in parallel, taking advantage of the scale and flexibility of the cloud. The workloads are often run asynchronously using batch processing, with compute resources required to run the work and job scheduling required to specify the work. Examples of Big Compute and HPC workloads include financial risk Monte Carlo simulations, image rendering, media transcoding, file processing and engineering or scientific simulations.