This project has not been included in the Gridcoin Neural Network since 2017-08-04.
Project statistics are not collected for excluded projects. Current stats are from last seen date!

If you are currently doing work on this project, consider changing to a project on the active projects list.
Visit projects homepage

No WU Graph Available for Project
No Users Graph Available for Project
No Active Users and Hosts Graph Available for Project
Current "RAC" (Recent Average Credit) by the team. Total Members are numbers reported by the BOINC Project. Members w/o Beacon are members of the team activly running this project, but has yet to advertise their CPID to the Gridcoin Network.

Team Hosts count are number of hosts that are connected to team members. Anonymous hosts can not be counted to the team.

Last Included:

3 months ago

Project RAC:


Project Hosts:


Team RAC:

245 (1.56%)

Team Hosts:


Team Members:


Team Members w/ Magntiude:


Team Members w/o Beacon:

Updated 2017-08-04 17:37:36 UTC

Ready to send:


In progress:


In validation:

The future of Sourcefinder

As some of you will remember from my [Link] previous post, Sourcefinder is going to see some significant changes coming in the next few months. I thought it was time I properly outlined exactly what's happening. The introduction of SoFiA I'm currently working on integrating the [Link] SoFiA sourcefinding application in to Sourcefinder. In order to integrate SoFiA cleanly, I'm working on a fairly significant overhaul to a lot of the Sourcefinder backend systems that will allow support for multiple sourcefinding applications. My aim here is to make it as easy as possible to add new sourcefinding applications to the system in the future. If anyone is interested, you can see the changes I'm making in the module_rework branch of our [Link] git repository. I'll most probably be sending out quite a few test work units while working on integrating SoFiA, so you'll probably get odd spats of work until it's integrated properly. Once SoFiA is working correctly, we'll be processing all of the work units in the simulated cube again, but this time using SoFiA instead of duchamp. SoFiA vs Duchamp research paper The scientists who will be using the data from this project plan on writing a research paper comparing the performance of Duchamp and SoFiA as sourcefinders. From what I've been told, the d...

By sourcefinder at 2017-07-19

Real data coming soon!

I've just arrived back from a meeting with Kirsten, and I have some extremely good news to share with everyone! ASKAP has almost completed observations of its first ~500GB cube, and we're going to be processing it when it's done! Running a sourcefinding application on ASKAP data hasn't been done yet, so this is going to be a world first. While we're waiting for ASKAP to be done, we're going to be running the simulated super cube again, this time using a new sourcefinding application called [Link] SoFiA. We're going to be looking at whether SoFiA is any better at finding sources than Duchamp is. Once we have data from both Duchamp and SoFiA, I'll be working on cross matching the sources they found with the original sources catalogue, then we'll have a clear picture of which is the better sourcefinder. I'm also told that there's a very high chance of a paper being written on the comparison between Duchamp and SoFiA as sourcefinders, so I'll be sure to keep you all up to date if I hear any more about it. Finally, there's been a bit of a back end storage issue with some of the data we've processed, and I'll need to re-run a few sets of work units, so expect some more work to be coming fairly soon. Edit: Please see my [Link] other post that expands on some of the things I've discussed in this one.

By sourcefinder at 2017-06-21

681GB Down

Congratulations everyone, we made it through the first 681GB of Sourcefinder cubelets! You've all done amazing work so far, and everyone at theSkyNet thanks you for it. Now that we've processed a large portion of the simulated cube data, I'm going to be focusing on developing some visualisation tools to allow everyone to actually see the sources they've processed. This tool is going to be incorporated in to You're basically going to be able to select a cubelet and parameter set to view, and you'll be shown the locations of the sources within that cubelet along with the name of the users who found the sources. I'm also planning on adding credit stats from Sourcefinder to your dashboard on at some point. To my knowledge, there should also be another ~300GB of data somewhere to process, as the original supercube was around 1TB in size. I believe this data wasn't extracted from the supercube for whatever reason, so I'm going to be working out how to extract it. Until then, there wont be any more Sourcefinder work units unfortunately. Anyway, thank you again to all of you for crunching all of this data. I hope you all enjoy the visualisation tool when I've finished building it :)

By sourcefinder at 2017-06-14

Update 5 June 2017

The set of work units I'm pushing out this week are the last of our 681GB batch of data. To my knowledge, there is still more data to process once this is done, but I'll need to find out how to extract it from the main supercube. All of the data up until now had been pre-extracted ahead of time for me. Here are our stats for this week:Total Cubes: 40269 Total Results: 28105 Total Canonical Results: 12197. 30.2888077678% Average Results Per Cube: 0.697931411259 Good Results: 26197. 93.2111723893% Bad Results: 1908. 6.78882761075% Client Bad: 1906. 6.78171143925% Client InProgress: 2. 0.00711617149973% Client Good: 26197. 93.2111723893% Server Inactive: 0. 0.0% Server Unsent: 0. 0.0% Server InProgress: 581. 2.06724782067% Server Over: 27524. 97.9327521793%

By sourcefinder at 2017-06-07

Update 31 May 2017

Not much this week, just a new set of work units. Here are this week's stats:Total Cubes: 39928 Total Results: 38293 Total Canonical Results: 11109. 27.8225806452% Average Results Per Cube: 0.959051292326 Good Results: 35874. 93.6829185491% Bad Results: 2419. 6.31708145092% Client Bad: 2405. 6.28052124409% Client InProgress: 14. 0.0365602068263% Client Good: 35874. 93.6829185491% Server Inactive: 0. 0.0% Server Unsent: 9512. 24.8400490951% Server InProgress: 1777. 4.6405348236% Server Over: 27004. 70.5194160813%

By sourcefinder at 2017-05-31

Update 24 May 2017

Modified text on the create account page to clarify that the user will require BOINC when signing up to the project. Updated text on the front page, as we're not a beta project any longer. Updated forum breadcrumb trail to always have a link back to the main Message Boards. Pushed out another batch of work units. I'm also transferring some reserve units in case we run out again. Here are the stats for this week:Total Cubes: 31248 Total Results: 26217 Total Canonical Results: 8921. 28.5490271377% Average Results Per Cube: 0.838997695853 Good Results: 24264. 92.5506350841% Bad Results: 1953. 7.44936491589% Client Bad: 1907. 7.27390624404% Client InProgress: 46. 0.175458671854% Client Good: 24264. 92.5506350841% Server Inactive: 0. 0.0% Server Unsent: 4705. 17.9463706755% Server InProgress: 654. 2.49456459549% Server Over: 20858. 79.559064729%

By sourcefinder at 2017-05-24

Promote this project by posting something about it in #sourcefinder on and get some rewards for your effort!
There are no posts about Sourcefinder on Steemit.

Based on all hosts for this project (anonymous hosts included) the following table displays some estimated projected RAC for a specific architecture. The data can be incorrect, incomplete and/or very inaccurate since we have no way to verify how much the host runs the specific project. This is based on architectures that has checked in once the last week with at least 5 hosts.

Max RAC: The highest RAC score found for a single host.

Please note that this is NOT a mining calculator, but rather a way to find hosts that can perform well on the project based on what other uses.
Architecture Max RAC  
[Amazon] Intel(R) Core(TM) i5-3470 CPU @ 3.20GHz 139

Some fields in the below table are hidden due to narrow screen. Turn your screen to display all columns.
User Name Hosts User RAC Est. Share Est. Mag Est. Reward/Day
fthibaud0001 0 1.48 0.60% 28.93 6.51 GRC
JohnNapoli 2 2.03 0.83% 39.65 8.92 GRC
keiii420 1 3.14 1.28% 61.34 13.80 GRC
WyerByter 1 4.83 1.97% 94.38 21.23 GRC
naokisz 1 22.43 9.16% 438.75 98.72 GRC
BGB[] 0 38.21 15.60% 747.35 168.15 GRC
hsdecalc 1 65.90 26.90% 1,288.95 290.01 GRC
LumenDan 1 80.60 32.90% 1,576.43 354.70 GRC

Please note that all data is as-is and comes from the Gridcoin Project blockchain. Estimations may be incorrect.
If you enjoy this service, please consider voting for our Steemit Witness @sc-steemit.

Issues with the page can be sent to @startail on our TeamGridcoin Slack Channel
Page Rendered in 0.0766s
Ran 9 Queries in 0.0711s
Backend Status: 3 of 3 nodes in sync