Is there any application or newer version other than Period Search Application v102.12 (arm_android_pie) for Android devices? This thing runs too sloooooow. The last WU spent 46hrs on my Android TV-box. The TV-box run SCC from WCG before, very fast, 4 to 5 WUs per day. I check RAM and ROM to see if it was out of space, it was not. It was just too damn slow. Why? It there an alternative?

No, I compare it to most other projects.
Asteroids and mindmodelling are 2 projects that give the lowest PPD.
Most other have higher PPD.
PrimeGrid, GpuGrid, Yoyo are a bit higher.
The Collatz is without a doubt, giving too high PPD.

GPUs can't perform all the smart operations that CPUs can.
Some projects have more limited multitasking possibilities than others. Some have none at all which is why not all projects have GPU versions.
Comparison of GPU project performance is thus futile - by the way you failed to mention milkyway and Primegrid Genefer GPU WUs.

It is reassuring that Asteroids gives the same credit per WU whatever the process.

The smaller the CPU involvement, the greater the amount transferred to the GPU. This should be considered a measure of efficiency - not the opposite.

I'm not sure which is worse: the project periodically running out of work units and going a few days with nothing, or the project periodically running out of disk space for a few days in which WUs cannot be uploaded.....


Actually, I guess I prefer the latter. At least my machines remain gainfully employed, even if they can't upload. It'll catch up eventually....

Nothing around here happens in a hurry. My guess is they don't look at the server more than once a week, if that, and never on a weekend. Yes, I'm guessing because the admins of this project don't bother to communicate with the community at all. The history has been if something happens between Friday PM and Monday AM nothing gets done until Monday around noon if we are lucky.

Re Collatz points on different GPU:
Turing class cards are way faster than Pascal on Collatz due to half precision capabilities:
https://en.wikipedia.org/wiki/List_of_Nvidia_graphics_processing_units#GeForce_16_series

I came here because I've been running a few batches of asteroids on 2080Tis and feel like I get WAY too little credit for it.
Granted, about 80Wus still need to be validated, but I feel we're not getting an equivalent PPD score on asteroids, vs on most other projects.

Think 'credit new' for the credits here, they use the Seti idea of granting credits while other Projects like Collatz have their own idea of how many credits you should get for each workunit. If you just care about credits, most people don't BTW, then for gpu's crunch for Collatz and for cpu's crunch for http://nci.goofyxgridathome.net/ when they have workunits. I believe those are the two highest paying Projects at the moment.

Superficially it looks like your math doesn't stack up. One 2080 is apparently 2 times faster than a 1060, and two of them are about 4 times faster. What did you expect ?

If I take Project Collatz as an example :

With one GPU NVidia GTX 1060 3GB : 1600 seconds for one task, 2,000,000 points per day.
With one NVidia RTX 2080 Ti : 130 seconds for one task, 19,000,000 points per day.

19000000/2000000=9.5 and 1600/130=12.3

For Collatz project, the NVidia RTX 2080 Ti is about 10 times faster than the NVidia GTX 1060.
So I'm very surprised that for Asteroids@home, it's only twice as fast ?
But maybe it's the numbers for Collatz that are abnormal !

Indeed, the theoretical power of RTX 2080 Ti is 13.45 TFlops and that of GTX 1060 is 4.4 TFlops.
13.45/4.4=3.
I really don't understand why there are such differences between BOINC projects ?

But I'm not a computer professional !

Each Project has it's own programmer to write the app, due to MANY differences there just no way to make this app just as fast as that app at another Project. One difference is the amount of data being processed, Collatz is looking for a result to a math problems, gpu's can zip thru those in no time. While Asteroids is also doing math stuff it's much more computationaly intense so takes much longer and is harder to optimize because of it.

The reason each Project has different programmers comes down to money and confidentially, project a doesn't want others stealing the way they do things so gets an in house person to do the programming while project b can afford to pay someone who has done it before so it's more optimized. BOTH work which is the whole point. Another difference is the money programmers want to do the app, some projects have the money to pay someone good while other projects only have the money to pay someone who can do it. Seti got Nvidia help writing theirs so it was highly optimized, Nvidia has not helped other projects to the same degree.