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HPC

  • Intro to Dartmouth HPC
  • Request an HPC Account (external link)
  • Dartmouth Open OnDemand

Dartmouth College provides robust High Performance Computing (HPC) resources designed to support researchers in running compute-intensive applications efficiently. Our Discovery HPC cluster comprises three primary systems: Polaris, Andes, and Discovery. Each system is tailored to address specific computational needs, offering substantial resources in terms of memory and scratch space to facilitate high-demand research tasks.

Our systems are available for use at no cost to members of the Dartmouth community.

Request an HPC Account to access Discovery and other HPC resources. All you need is a valid Dartmouth NetID.

Discovery Cluster  

The Dartmouth Discovery cluster is a high-performance computing (HPC) system running on Linux RHEL8 comprised of ~130 compute nodes with over 6,000 CPU cores, 120,000 GPU cores, more than 12 TB of memory, and approximately 3.2 PB of storage across all systems, our High Performance Computing (HPC) resources empower researchers to run compute-intensive, large-memory programs quickly and efficiently, while securely and accessibly storing their data.

The Discovery support team provides consulting on debugging, optimizing, and parallelizing code and will install additional application software if requested.

  • Overview
  • Using the Discovery Cluster (KBA)

Andes & Polaris Andes and Polaris are shared memory computers that run large memory, computationally intensive, programs and applications. Interactive GUI programs, large software builds ( R packages, conda environment creations, apptainer image creations) , and anything benefitting from fast local /scratch, but not suited to scheduled batch operations, will run better on polaris.dartmouth.edu or andes.dartmouth.edu

Discovery Discovery is to be used ONLY for submitting and monitoring scheduled jobs. Interactive GUI programs, large software builds ( R packages, conda environment creations, apptainer image creations) , and anything benefitting from fast local /scratch, but not suited to scheduled batch operations, will run better on polaris.dartmouth.edu or andes.dartmouth.edu

For an HPC quick comparison, see Discovery, Polaris and Andes: High Performance Computing KBA.

More information at the Dartmouth Services Portal: Discovery Cluster Details (KBA)

     
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