VGTU@home - Calculated RAC for CPUs

In the past months I noticed regular requests from Gridcoin team members on Steemit, looking for the RAC output of their system to determine which Gridcoin project to crunch.

This gave me the idea to gather information for all whitelisted BOINC projects and calculate per CPU the RAC (Recent Average Credit) and potential earnings.

VGTU@Home

In this episode I’m presenting an overview of almost 900 CPUs with the calculated RAC and daily earnings for VGTU@Home. Similar to previous episodes, I have only included those CPUs for which I have gathered sufficient information based on sample set of almost 7,600 hosts and 1,700,000 work-units.

After reviewing 16 whitelisted Gridcoin projects, VGTU@Home is currently on position 7 and as such a mid-range earning project. The average RAC scoring is second lowest in the list.

Besides, TN-Grid has been whitelisted again this week and has ended on number 1 as best earning project on average. I have also removed theSkynet POGS because it is now greylisted and will not return anymore.

Info on Github

Due to the large number of CPUs and projects, I have stored the output separately on Github. The main file can be downloaded in Excel format or OpenDocument format.

The file contains the following worksheets:

• Worksheet 1: Average daily earnings per project
• Worksheet 2: Daily Gridcoin earnings per CPU for all projects
• Worksheet 3 to 19: CPU calculated RAC and GRC earnings per project
• Worksheet 20: Threads per CPU
• Worksheet 21: GRC per 1k RAC for each project

I will continue to update the file with more projects and refresh the earnings so it is best to download the latest version from Github.

Average daily earnings per project

In case you don’t know your CPU, you will likely achieve the maximum earnings for your system by selecting one of the first projects in table on the first worksheet (see also table above). Don’t confuse the numbers in the table with actual earnings, it is merely an index to compare the earnings potential between projects. Obviously, the project ranking will change when computing power is shifting across projects so I will continue to update the table to reflect this.

The ranking of projects is established in the following way:

• Select those CPUs which have results in all projects (this applies to 300 CPU types at the moment)
• With the selected CPU types calculate the average earnings for each project
• Sort the projects from highest to lowest average daily earnings

Calculated RAC

I used the following formula to calculate the system RAC:

Breakdown of the formula:

• Σ points of sample set, is the amount of points credited by the project for the returned results
• Σ time of sample set, is the total time it took to process all returned WUs
• Σ CPU threads, is the number of CPU cores x CPU threads.

Three assumptions as part of these calculations:

• Multithreading is enabled in the BIOS
• The calculated RAC is based on running one BOINC project, 24/7 on all cores
• The higher the number of gathered WUs per CPU, the more accurate the RAC value

Previous episodes

The table below presents a summary of all projects introduced so far including high-level details per project.

Project	CPUs	Hosts	WUs	Information
Asteroids@home	1,297	19,462	2,885,452	Raw data p1 (Size: 21 MB), Raw data p2 (Size: 17 MB)
Citizen Science Grid	1,115	14,368	1,657,693	Raw data (Size: 24 Mb)
Cosmology@Home	1,091	17,758	2,124,977	Raw data p1 (Size: 16 MB), Raw data p2 (Size: 12 MB)
Enigma@home	745	3,775	2,143,679	Raw data (Size: 17 Mb)
LHC@Home	1,275	17,727	2,189,428	Raw data p1 (Size: 14 MB), Raw data p2 (Size: 15 MB)
NFS@home	1,015	56,273	1,666,526	Raw data (Size: 19 Mb)
Numberfields@home	1,006	20,885	1,542,956	Raw data (Size: 23 Mb)
ODLK1	1,009	12,340	2,098,300	Raw data (Size: 21 Mb)
PrimeGrid	949	9609	2,030,902	Raw data p1 (Size: 20 MB), Raw data p2 (Size: 25 MB)
Rosetta@home	1,584	57,240	2,042,631	Raw data p1 (Size: 18 MB), Raw data p2 (Size: 17 MB), Raw data p3 (Size: 19 MB)
SETI@home	1,745	122,277	2,213,442	Raw data p1 (Size: 20 MB), Raw data p2 (Size: 24 MB), Raw data p3 (Size: 19 MB)
SRBase	640	6,997	1,732,240	Raw data (Size: 15 Mb)
TN-Grid	903	9,468	2,238,497	Raw data (Size: 21 Mb)
Universe@home	1,182	97,818	3,036,071	Raw data p1 (Size: 17 MB), Raw data p2 (Size: 18 MB)
VGTU@Home	898	7,653	1,739,691	Raw data p1 (Size: 14 MB), Raw data p2 (Size: 11 MB)
Yoyo@home	949	6,617	1,704,412	Raw data (Size: 17 Mb)

If you notice any mistakes, for example number of cores per CPU, let me know and I will update the information accordingly.

Gridcoin is an open source cryptocurrency (Ticker: GRC) which securely rewards volunteer computing performed upon the BOINC platform in a decentralized manner on top of proof of stake.

BOINC (Berkeley Open Infrastructure for Network Computing) is a distributed Internet platform and was launched beginning of 2002 and it rewards participants with credits for performed work. BOINC is an application available for multiple Operating Systems and uses the unused CPU and GPU cycles on computers to perform scientific work.

Thanks for reading. Follow me for more BOINC & Gridcoin related articles.

Image source: Header, Gridcoin logo, BOINC logo
Data source: BOINC project websites

Disclaimer:
I have made every effort to present accurate RAC values but the output is as good as the results taken from the project websites. Based on your configuration and system use, the actual system RAC may vary from the calculated RAC.