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Frontera (TACC)

Platform user guide

https://frontera-portal.tacc.utexas.edu/user-guide/

General description

  • Resource manager - SLURM
  • Launch methods (per platform ID)
    • tacc.frontera - MPIRUN
    • tacc.frontera_rtx - SRUN
    • tacc.frontera_prte - PRTE (PRRTE/PMIx)
  • Configuration per node (per platform ID)
    • tacc.frontera, tacc.frontera_prte
      • Cascade Lake (CLX) compute nodes (8,368 nodes)
        • 56 CPU cores
        • 192 GB of memory
      • Large memory nodes (16 nodes)
        • 112 CPU cores
        • 2.1 TB of memory (NVDIMM)
    • tacc.frontera_rtx (90 nodes)
      • 32 CPU cores
      • 4 GPUs (NVIDIA RTX 5000)
      • 128 GB of memory

Setup execution environment

Python virtual environment

Create a virtual environment with venv:

export PYTHONNOUSERSITE=True
module load python3
python3 -m venv ve.rp
source ve.rp/bin/activate

Install RADICAL-Pilot after activating a corresponding virtual environment:

pip install radical.pilot

Launching script example

Launching script (e.g., rp_launcher.sh) for the RADICAL-Pilot application includes setup processes to activate a certain execution environment and launching command for the application itself.

#!/bin/sh

# - pre run -
module load python3
source ve.rp/bin/activate

export RADICAL_PROFILE=TRUE
# for debugging purposes
export RADICAL_LOG_LVL=DEBUG

# - run -
python <rp_application>

Execute launching script as ./rp_launcher.sh or run it in the background:

nohup ./rp_launcher.sh > OUTPUT 2>&1 </dev/null &
# check the status of the script running:
#   jobs -l

Note

If you find any inaccuracy in this description, please, report back to us by opening a ticket.