18.3. CMAQv5.4+ Benchmark on HBv3_120 compute nodes and lustre

Run CMAQv5.4+ on a using pre-loaded software and input data on Lustre using HBv3_120 Cycle Cloud.

• 18.3.1. Use Cycle Cloud pre-installed with CMAQv5.4+ software and 12US1 Benchmark data.
• 18.3.2. This method relies on obtaining the code and data from blob storage.
  • Use a configuration file from the github by cloning the repo to your local machine
  • Lustre - Request Public Preview
  • Create Lustre Server
  • Blob Storage - Lustre hierarchical storage management
• 18.3.3. Update Cycle Cloud
• 18.3.4. Log into the new cluster
• 18.3.5. Verify Software
• 18.3.6. Download the input data from the AWS Open Data CMAS Data Warehouse.
• 18.3.7. Verify Input Data
• 18.3.8. Examine CMAQ Run Scripts
• 18.3.9. To run on the Shared Volume a code modification is required.
• 18.3.10. Build the code by running the makefile
• 18.3.11. Submit Job to Slurm Queue to run CMAQ on Lustre
  • Check status of run
  • Successfully started run
  • Once the job is successfully running
• 18.3.12. Submit a run script to run on the shared volume
  • Submit a 96 pe job 1 nodes x 96 cpus on the EBS volume /shared
  • The per-processor log files are beind sent to the output directory
• 18.3.13. Submit a minimum of 2 benchmark runs