Georgia Advanced Computing Resource Center: Difference between revisions
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''' | '''Sapelo2 is available now'''. Please refer to [[Sapelo2 changes after Oct.24 maintenance]] for more information. | ||
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*Sapelo2 | *Sapelo2 now runs the Slurm queueing system | ||
*All running and pending jobs on Sapelo2 at 6 a.m. on Oct. 24 were deleted. | *All running and pending jobs on Sapelo2 at 6 a.m. on Oct. 24 were deleted. | ||
*Sapelo2 will migrate to Slurm and a new software environment; current job submission scripts will no longer work after this maintenance. | *Sapelo2 will migrate to Slurm and a new software environment; current job submission scripts will no longer work after this maintenance. | ||
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* [[Sapelo2 Frequently Asked Questions]] | * [[Sapelo2 Frequently Asked Questions]] | ||
Revision as of 18:41, 29 October 2020
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:
The following is an important notice for all of our current users.
Sapelo2 is available now. Please refer to Sapelo2 changes after Oct.24 maintenance for more information.
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
- Connecting
- Transferring Files
- Changing your Password
- Frequently Asked Questions
- Command List
- Getting Help
- Policies
- Consulting
- Training
Services and other resources.
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 Scripts
- Migrating from Torque to Slurm
- Troubleshooting on Sapelo2
- Best Practices
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