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Discovery Cluster
With a total of 3000+ CPU cores, 120,000 GPU cores, 12+TB of memory, and 1 PB of storage across all systems, our High Performance Computing (HPC) resources allow researchers to run compute intensive
Investing in Discovery
Overview
The DISCOVERY general purpose Cluster is an exciting opportunity for researchers to participate in creating a world class super computer devoted to furthering research at Dartmouth
Discovery Cluster details
Discovery is a Linux cluster that in aggregate contains 128 nodes, 6296 CPU cores, 54.7TB of memory, and more than 2.8 PB of disk space.
Node Hardware Breakdown
Cell
Vendor
Discovery Setup for Mac
Access to Discovery cluster from Macintosh ... discovery-NETID.terminal ... Windows.
To display graphical output from remote Linux software, you'll need Xquartz or FastX (see below), but this isn't so important with discovery since it is a batch-scheduled environment
Using RStudio on the Discovery Cluster
discovery ... This document explains how you can quickly iterate your R code versions for an RStudio session on the Discovery HPC Cluster using a local code editor and remote HPC processing. This is helpful for
Discovery Cluster Upgrade 2024
30th. Over the coming weeks, we'll be migrating batches of compute nodes. During this time, you may notice a decrease in available resources within the discovery7 cluster, with more resources becoming
Migrating a legacy Discovery home directory to DartFS
Step by step instructions for migrating data from a legacy Discovery home directory to a DartFS home directory. ... Background
New home directories for Research Computing servers are in DartFS. When you have a DartFS home directory you can login to all of our systems (Discovery, Polaris, Andes, etc.) using
Gromacs in Containers: A short Guide to using Gromacs containers on Discovery
Gromacs on our HPC systems. For more comprehensive details on Apptainer, please visit the Apptainer documentation.
This guide also assumes familiarity with how to request GPU resources on the Discovery
Software Resources for Researchers
Details
The following software is available to researchers:
Bioinformatics
Software
Availability
OS
Comments
mrbayes
Discovery
Linux
Discovery, Polaris and Andes: High Performance Computing (HPC) quick comparison
about requesting an account to get started with Andes
Discovery
uses a 'scheduler' program to submit jobs to a queue, rather than interactively (for example, .m Matlab programs can be
Jupyter on a compute node
The following steps demo:
Create a job submission script to run a Jupyter notebook on the Discovery cluster
Submit the job to the scheduler
Create a SSH tunnel to Discovery and browse to
Software for Research
/ .
To use software on our high-performance computers (Andes, Polaris or Discovery), please visit https://rc.dartmouth.edu/ and click "Request an account" to get started, and for instructions on
Software for Research Knowledge Base
/ .
To use software on our high-performance computers (Andes, Polaris or Discovery), please visit https://rc.dartmouth.edu/ and click "Request an account" to get started, and for instructions on
Create a container image for HPC
fibonacci.tar
Transfer the image to Discovery
scp fibonacci.tar netid@discovery:
Build an Apptainer image from the Docker image
ssh netid@discovery
apptainer build fibonacci docker
Tools for Researchers
, data storage, Caligari Web and database servers
Accounts for Researchers - For general research computing, data storage, and Discovery cluster accounts
Software Resources - Applications in