I recently discovered a website with the ability to dive deep into the data for all the BOINC projects. This page has the RAM requirements for all the projects cpu apps.
http://wuprop.boinc-af.org/results/ram.py

I wondered how did they get their data. I realized the answer when I browsed to the root of this site:
http://wuprop.boinc-af.org/
This is actually a BOINC project collecting data about the apps of other BOINC projects as you run it with your other projects. Nice!
It's 10 years old, and I can't recall I heard about it. I'm shocked.

I recently discovered a website with the ability to dive deep into the data for all the BOINC projects. This page has the RAM requirements for all the projects cpu apps.
http://wuprop.boinc-af.org/results/ram.py

Nice page. Pretty close to my values. I always leave some head room, e.g. LHC ATLAS needs 2 GB.

Rosetta is a problem as they stuff every project they have into one queue. Some need much more RAM than others so this is clearly an average that would benefit from knowing its standard deviation. Most of the time 0.8 GB is enough but a couple of projects use a good bit more so reserve a minimum of 1 GB and it'll come out in the wash.

I recently discovered a website with the ability to dive deep into the data for all the BOINC projects. This page has the RAM requirements for all the projects cpu apps.
http://wuprop.boinc-af.org/results/ram.py

Thank you for sharing this!
Not only did I like it, but I also joined WUProp@Home and I'm running my first task...
Its seems to be very low resource demanding:

Application: Data collect version 4 4.25 (nci)
Name: data_collect_v4_1586607902_360862
State: Running (non-CPU-intensive)
Received: Fri 01 May 2020 10:34:46 WEST
Report deadline: Fri 08 May 2020 10:34:45 WEST
Estimated computation size: 1,000 GFLOPs
CPU time: 00:00:05
CPU time since checkpoint: 00:00:00
Elapsed time: 00:25:15
Estimated time remaining: 05:25:27
Fraction done: 7.202%
Virtual memory size: 9.68 MB
Working set size: 7.41 MB
Directory: slots/4
Process ID: 28681
Progress rate: 16.560% per hour
Executable: data_collect_v4_425_x86_64-pc-linux-gnu__nci

Unfortunately, it appears that _heinz has given up on GPUGRID, looking at his task list. Regrettable as he is a veteran cruncher.

I see that some of his errors were detected memory leaks. That might hint at what Zoltan wrote about failing memory being one cause of nan errors.

You have also
# Engine failed: Particle coordinate is nan
which is usually the result of to much overclocking, or your card has a failing memory chip.

ServicEnginIC wrote

Thank you for sharing this!
Not only did I like it, but I also joined WUProp@Home and I'm running my first task...
Its seems to be very low resource demanding:

That goes for me too! 👍👍
The more of us that contribute, the more accurate the statistics.

"(non-CPU-intensive)" = extra BOINC credit without stopping anything else to do it... Genius! And, we get more insignias apestosas, hombres. 🥇😊

I recently discovered a website with the ability to dive deep into the data for all the BOINC projects. This page has the RAM requirements for all the projects cpu apps.
http://wuprop.boinc-af.org/results/ram.py

I wondered how did they get their data. I realized the answer when I browsed to the root of this site:
http://wuprop.boinc-af.org/
This is actually a BOINC project collecting data about the apps of other BOINC projects as you run it with your other projects. Nice!
It's 10 years old, and I can't recall I heard about it. I'm shocked.

WUProp is a tool developped by an Alliance Francophone's developper.

Feel free to come on our forum, and especially on the dedicated thread : https://forum.boinc-af.org/index.php?topic=3438.new;topicseen#new

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