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ApplicationCheckpointingAndRestartOnArc
Checkpointing is the process of saving the execution state of an application such that this saved state can be used to continue the execution at a later time. Typ...
ArcFairUsePolicy
Arc Fair Use Policy Active Jobs Compute nodes are not shared among multiple users. Instead, when a user grabs a compute node, they will be the only user allowed ...
FAQ
Frequently Asked Questions Who can use Arc? The Arc research cluster is available at no charge to all University of Texas at San Antonio students, faculty and st...
FOSWikiVersion-LoggingIntoArcAndSubmittingJobs
Table of Contents LOGGING INTO ARC. 1 ACCESSING COMPUTE NODES ON ARC. 1 RUNNING JOBS INTERACTIVELY WITH THE SRUN COMMAND.. 3 SUBMITTING BATCH JOBS WITH THE SBATCH...
GettingHelp
Getting Help Submit a Service Request Follow this link to access your ServiceNow portal. At the homepage, select the Research tile and select the category for ...
HTMLVersion-LoggingIntoArcAndSubmittingJobs
Table of Contents LOGGING INTO ARC. 1 ACCESSING COMPUTE NODES ON ARC. 1 RUNNING JOBS INTERACTIVELY WITH THE SRUN COMMAND.. 3 SUBMITTING BATCH JOBS WITH THE SBATCH...
LoggingIntoArcAndSubmittingJobs
Table of Contents LOGGING INTO ARC. 1 ACCESSING COMPUTE NODES ON ARC. 1 RUNNING JOBS INTERACTIVELY WITH THE SRUN COMMAND.. 3 SUBMITTING BATCH JOBS WITH THE SBATCH...
MigratingDataToArc
Migrating Data From Shamu to Arc This guide provides several tools for migrating data from the legacy Shamu HPC environment to the new Arc HPC environment. In som...
MonitoringYourJobs
Monitoring your jobs Using the squeue Command Check the status of all jobs on Arc using the squeue command (this is just an example compute names may be differe...
PythonVMsInAnaconda
If you need to install your own programs/modules in python you can do it via creating vms. Some programs may need specific versions of modules to work correctly a...
QuickStartGuide
Quick Start Guide The Research Computing Support Group at UTSA provides computing, storage and visualization resources to support research that has specialized or...
RunningJobs
Running jobs on Arc * Submitting your Batch Job Submit your code to run on the compute nodes. Create a submission script and specify options for better j...
SavingAndImportingPythonEnvironments
It's handy to make a package list from your conda virtual environment in case you install something that breaks it or you want to replicate the packages exactly o...
SavingTheEnvironmentInWorkDirectory
Python virtual environments (VE )are saved in your home directory by default. However, in case you are running out of space in your home directory, you can save t...
SavingTheRLibrariesInWorkDirectory
The base R package is provided on Arc via modules on the compute nodes. First, start an interactive session on a compute node by tpying: srun p compute1 n 1 t ...
ShamuFairUsePolicy
Arc Fair Use Policy Active Jobs Compute nodes will no longer be shared among multiple users. Instead, when a user grabs a compute node, they will be the only use...
TechSupport
Technical Support * For technical support, you can submit a support request for Arc at the following link: https://support.utsa.edu/myportal. Instructions for ...
UseSlurmOnArc
Slurm (Simple Linux Utility for Resource Management) is a highly configurable workload manager and job scheduler for an HPC cluster. It is open source software ba...
UsingAbaqusOnArc
ABAQUS on Arc The ABAQUS software suite from Dassault Systems is used for finite element analysis and computer aided engineering. The ABAQUS software is used in t...
UsingContainersOnArc
Singularity is available on Arc for running containerized applications that have images built using Docker or Singularity. Users can access the software via the m...
UsingNamdOnArc
NAMD is a computer software application for molecular dynamics simulation. We have MPI and multiple core versions installed on Arc. The software is accessible via...
UsingPyTorchOnArc
OVERVIEW PyTorch is a Python based scientific computing package. It is an automatic differentiation library that is useful to implement neural networks. Just like...
UsingPyTorchWithMultipleGPUDevicesAcrossMultipleNodes
Here is an article about how to train a PyTorch based Deep Learning model using multiple GPU devices across multiple nodes on an HPC cluster: https://tuni itc.git...
UsingPyTorchWithMultipleGPUs
PyTorch is a Python based machine learning framework that can take the advantage of both CPUs and GPUs. This tutorial shows the process of modifying a Deep Learni...
UsingTACCSResources
https://portal.tacc.utexas.edu/user guides To use TACC's Corral system you must request via TACC's User Portal for access: https://portal.tacc.utexas.edu/user g...
UsingTensorflowWithMultipleGPUs
With GPU support, you can significantly improve the performance of a Deep Learning model built with Tensorflow. Running a model with a single GPU is very simple. ...
UsingTheOnDemandPortal
***The OnDemand Portal is Currently not in Production on Arc We will notify users when it has become production ready*** We recently introduced the OnDemand Por...
UsingTheSystems
Using the System * Managing your Files Store, manage and how to transfer files to Arc * Queue Definitions Queue definitions * Module Enviro...
VirtualDesktop
To access the virtual desktop on ARC via the web, you must go to https://portal.arc.utsa.edu/ and log in with your UTSA id, passphrase, and DUO app. Once logged i...
VisualizationUsingParaviewOnArc
ParaView (ParaView Website) is an open source application for visualizing two and three dimensional data sets. It is a multi platform parallel data analysis and ...
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WhatIsArc
Arc is UTSA's primary high performance computing (HPC) resource; heavily utilized by researchers, students, faculty and staff from a broad range of disciplines. A...
Number of topics: 35
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