What is TACC?
Texas Advanced Computing Center provides:
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Stuck with TACC specific errors or need a specific tool installed on TACC? Submit a ticket to TACC consulting. TACC's Cluster Systems
What is a cluster?
Cluster systems are made up of multiple computers, connected together to act as one. Each computer is called a node in the cluster and can and can have multiple processors (called cores). Users log in to the cluster through a limited number of login/head nodes and submit jobs to the many compute nodes. These systems are inherently parallel and can be greatly beneficial when your jobs are also parallelized.
TACC's Cluster Systems
LONESTAR6:
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- 560 nodes (computers) with 128 cores per node
- 71, 680 cores (processors)
- 84 GPU nodes with 128 cores per node (for more computationally intensive tasks)
- 256 GB RAM
- Max run time: 48 hours
- USE: For running large, parallel computation jobs.
STAMPEDE2STAMPEDE3:
- 4,200 KNL nodes 1060 SKX nodes (computers) with 68 48 cores (processors) per node); 1736 SKX , 560 SPR nodes (computers) with 112 cores (processors) per node, 224 ICX nodes (computers) 285,600 cores (processors); 83,328 cores (processors)with 80 cores per node
- GPU nodes: 20 PVC nodes with 96 cores per node, 24 H100 GPU nodes with 96 cores per node
- Max run time: 48 hours (without approval), 120 hours (with approval)
- USE: For running large, parallel computation jobs
Frontera:
- Fastest academic supercomputer in the country
- https://tacc.utexas.edu/systems/frontera/
- USE: For running large, parallel computation jobs (particularly simulations and AI related tasks)
TACC's
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Storage Systems
CORRAL:
- Replicated storage
- 6 Petabytes of storage
- Accessible on lonestar and stampede systems
- $250 per terabyte (First 5 terabytes free for UT users)
- USE: Backup data, analysis results.
RANCH:
- Tape storage
- Archival storage- not replicated or backed up.
- 60 Petabytes of storage
- Immediate access can be difficult.
- USE: Long term archival of data. One of two copies.
Now on to how to use the lonestar6 cluster...
