With this information, I hope it will become easier for team members to determine the system output running BOINC projects. The method to establish the calculated RAC is explained in the first episode, which you can find here.
This episode highlights the calculated RAC of 1100 CPUs running Citizen Science Grid. Although there are more CPUs in the market, I have only included those for which I have gathered sufficient information based on sample set of 14,000 hosts and 1,650,000 work-units.
The output is available in a file on Github and can be downloaded here. You will find projects from previous episodes in here as well. Next to the calculated RAC per CPU, it also contains the GRC earnings per day. I will continue to update the GRC earnings so it is best to download the the latest version from Github.
Further info related to the calculated RAC for CPUs on Github:
- [email protected]: Raw data p1 (Size: 21 MB), Raw data p2 (Size: 17 MB)
- Citizen Science Grid: Raw data (Size: 24 Mb)
- [email protected]: Raw data p1 (Size: 14 MB), Raw data p2 (Size: 15 MB)
- [email protected]: Raw data (Size: 23 Mb)
- SRBase: Raw data (Size: 15 Mb)
- theSkyNet POGS: Raw data p1 (Size: 8 MB), Raw data p2 (Size: 19 MB)
- TN-Grid: Raw data (Size: 21 Mb)
- [email protected]: Raw data (Size: 17 Mb)
- Calculated RAC in OpenDocument (.ods) format: here
If you notice any obvious mistakes, for example number of cores per CPU, let me know and I will update the information accordingly.