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Feature/nl format #96

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Feature/nl format #96

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f91237c
Initial commits of restructured NL and README for clarity.
drnimbusrain Nov 7, 2023
5a2671d
Updated README.
drnimbusrain Nov 7, 2023
78a2c26
Update README
drnimbusrain Nov 7, 2023
ad359ee
Update README
drnimbusrain Nov 7, 2023
5476d52
Updated README
drnimbusrain Nov 7, 2023
4ddb64e
Updated README
drnimbusrain Nov 7, 2023
eb3b1a7
Also added python/README and example slurm script for global.
drnimbusrain Nov 7, 2023
cd974bf
Updated example slurm and python global for new updates.
drnimbusrain Nov 8, 2023
2447507
Update README.md
angehung5 Nov 8, 2023
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Update run_canopy_slurm.sh
angehung5 Nov 8, 2023
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Update README.md
angehung5 Nov 8, 2023
8686cb4
Update run_canopy_slurm.sh
angehung5 Nov 8, 2023
e7091dd
Updated python/README to be specific to Example 1 global processing
drnimbusrain Nov 8, 2023
f640d2f
Merge branch 'feature/nl_format' of https://github.com/noaa-oar-arl/c…
drnimbusrain Nov 8, 2023
54096f7
Merge branch 'develop' into feature/nl_format
drnimbusrain Nov 8, 2023
d4801b9
Updated python README
drnimbusrain Nov 8, 2023
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6 changes: 3 additions & 3 deletions python/README.md
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Expand Up @@ -96,17 +96,17 @@ You can also download and generate global gridded canopy-app inputs using Python

2. Global inputs require a lot of memory, suggest not running on head node:

Slurm batch script suggestion:
Slurm batch script suggestion (cpu time = ~20-30 min for processing a single time step):
```
#!/bin/bash -l
#SBATCH --partition=bigmem # big memory node
#SBATCH --job-name=canopy-app # name the job
#SBATCH --output=canopy-%j.out # write stdout to named file
#SBATCH --error=canopy-%j.err # write stdout to named file
#SBATCH --time=0-04:00:00 # Run for max of 00 hrs, 10 mins, 00 secs
#SBATCH --time=0-02:00:00 # Run for max of 00 hrs, 10 mins, 00 secs
#SBATCH --nodes=1 # Request N nodes
#SBATCH --ntasks=1 # Request n tasks
#SBATCH --mem-per-cpu=1000GB # Request nGB RAM per core
#SBATCH --mem-per-cpu=60GB # Request nGB RAM per core
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@angehung5 A single node/task with your suggestion of 60GB memory may not work, please test this example.

I don't think we really need to increase ntasks because its not parallel code.

From my experience using a single node/task requires like about 256 GB memory.


conda activate canopy-app
python python/global_data_process.py 2020071512000,2020071612000,2020071712000
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