Difference between revisions of "Georgia Advanced Computing Resource Center"
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| + | '''Scheduled Boyd Data Center UPS maintenance:''' Feb. 10, 2024. | ||
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| + | In preparation for this maintenance, there is a Slurm reservation in place now on Sapelo2 that prevents jobs that would run past 10PM Friday Feb 9 from starting, | ||
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Revision as of 17:23, 5 February 2024
Welcome to the Georgia Advanced Computing Resource Center wiki. The information provided here is a supplement to the GACRC webpage. The GACRC online information resources include:
- Web Site – General overview
- Wiki – Software docs and how-to’s - "You Are Here"
- Kaltura – Linux and HPC training videos
The following is an important notice for all of our current users.
- New Service for data management at UGA - Globus subscription
- New Open OnDemand interface for Sapelo2 available now
- Sept. 5-7, 2023 scheduled maintenance complete: Sapelo2 has been updated to run Rocky 8.
Documentation related to the cluster update:
Scheduled Boyd Data Center UPS maintenance: Feb. 10, 2024.
In preparation for this maintenance, there is a Slurm reservation in place now on Sapelo2 that prevents jobs that would run past 10PM Friday Feb 9 from starting,
Welcome to the Georgia Advanced Computing Resource Center at the University of Georgia. If you're new to the GACRC, start with these links to get acquainted with our resources.
- User Accounts
- Instructional Accounts
- Connecting
- Transferring Files
- Changing your Password
- FAQ
- Command List
- Getting Help
- Policies
- Consulting
- Training
Hardware information and operational procedures are described below.
Information on how to run jobs and data management.
- Running Jobs
- Monitoring Jobs
- Job Submission Partitions
- Sample Job Submission Scripts
- Migrating from Torque to Slurm
- Troubleshooting on Sapelo2
- Best Practices
- Globus
- Open OnDemand
Documentation for software applications, programming tools, and usage.
- Software
- Available Toolchains and Toolchain Compatibility
- Bioinformatics Databases
- OpenMP
- Message Passing Interface (MPI)
- Compilers
- GPU and CUDA Programming
- Installing Applications