Finally, calculate the cumulative AWS costs with 03-calculate-total-aws-compute-cost.py.This step is much faster than the job-import step, but may still take a long time for large job-counts.Next, calculate per-job resource requirements and per-job costs using 02-calculate-job-costs.py.
You can get a status output as it progresses by using the -verbose flag. You can reduce the runtime by limiting the time period in which you search for jobs (e.g., only import jobs from the last N days).
HPC AWS PRICING CALCULATOR UPDATE
This script may be run at any time to update AWS pricing information to be used in cost calculations. Next, import current AWS prices using fetch-aws-pricing.py.You need to know the MYSQL admin password for this step. This will prompt for mysql usernames and passwords in order to setup the database environment. Begin by running 00-prepare-mysql-onetime.sh.Pass the -h flag to them to get a list of available arguments for each script. Virtual environments, environment modules, host-installed, etc.Īll of the python scripts accept CLI arguments. Note that this makes no assumptions about how you make python3 and its modules available. Of CPU clock speeds, consistent performance effect due to hyperthreading) you will need to scale the cost estimate accordingly. If you have reason to believe that there is a consistent scalefactor between your cluster and AWS (e.g., ratio Corase resource usage (CPU-count, RAM, GPUs) is all that Note that no consideration is given to CPU speeds and/or hyperthreading. This is based on "Amazon Cost Comparison" from Kansas State:
0 kommentar(er)
