Just getting back into the BOINC community after a hiatus following SETI's shutdown. I have loaded my old machines up and they are running both CPU and GPU fine work elements fine with a 1050 TI and a GT 540.
However my main number cruncher built as a Flight Sim server, an AMD Ryzen 9 5900X 12-Core with a Nvidia 3070 card is not running any elements using GPU processing. Is this card too new and not yet supported?

With a GPU you can try other projects. Asteroids@home GPU tasks are not significantly faster than CPU tasks. As a result, those top computers are not equipped with a high-end graphics card.
https://asteroidsathome.net/boinc/top_hosts.php

Yes, that is the case for the Ampere cards. They have CC capability of 8.6 and the gpu apps cutoff any cards over CC 7.5.
You can see the scheduler reply stating the case like this:

Unsupported Compute Capability (CC) detected (8.6). Supported Compute Capabilities are between 3.0 and 7.5

So only the Turing and earlier cards work here. You won't get sent work for any Ampere cards.

With a GPU you can try other projects. Asteroids@home GPU tasks are not significantly faster than CPU tasks. As a result, those top computers are not equipped with a high-end graphics card.
https://asteroidsathome.net/boinc/top_hosts.php

That statement is patently false. GPU apps are 2X-10X faster than any cpu at this project.

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A proud member of the OFA (Old Farts Association)

With a GPU you can try other projects. Asteroids@home GPU tasks are not significantly faster than CPU tasks. As a result, those top computers are not equipped with a high-end graphics card.
https://asteroidsathome.net/boinc/top_hosts.php

That statement is patently false. GPU apps are 2X-10X faster than any cpu at this project.

Indeed... my GPU can finish a unit in 6-7 minutes, but I see CPU hosts taking an hour or more. I think the top hosts being CPU hosts is because they have crazy CPUs - #1 is a dual-Epyc box with 256 total threads!

So only the Turing and earlier cards work here. You won't get sent work for any Ampere cards.

My Volta card works too. (I can't remember which is newer, Turing or Volta...)

Either way, the code should definitely be updated for Ampere. There would be a nice performance bump there!

My Volta card works too. (I can't remember which is newer, Turing or Volta...)

Either way, the code should definitely be updated for Ampere. There would be a nice performance bump there!

Volta works because its compute capability is 7.0 and within the accepted range of the applications.

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A proud member of the OFA (Old Farts Association)

That statement is patently false. GPU apps are 2X-10X faster than any cpu at this project.

but not per watt or per device. and overall production ends up less than a CPU in most cases.

that GPU can do a task 10x faster, at the same power, but the CPU can run 32 of them in parallel. making the GPU slower overall.

also the apps here seem to benefit a lot from FP64 performance. since the project is Nvidia only for the GPU apps, it's hard to see that benefit since most consumer nvidia GPUs have lackluster FP64 performance. I'll have a TitanV here soon to verify that.

that GPU can do a task 10x faster, at the same power, but the CPU can run 32 of them in parallel. making the GPU slower overall.

If you have a CPU with that many threads. A lot of people don't. (Or, you may not run this project with all available threads/cores.)

also the apps here seem to benefit a lot from FP64 performance. since the project is Nvidia only for the GPU apps, it's hard to see that benefit since most consumer nvidia GPUs have lackluster FP64 performance. I'll have a TitanV here soon to verify that.

I have a Titan V, it seems to average between 6.5 and 7.5 minutes per work unit. (I only run it as a fill-in project, so I only do a handful of units at a time.) Makes sense that FP64 would be advantageous here, since the numbers involved are, dare I say it, astronomical. On the other hand, that speed comes out to about 8.5 work units per hour, and it seems a lot of CPUs can do 1 unit per hour per thread, so, quite a few CPUs would be able to outperform a GPU.

Personally, I try to run CPU-only projects on the CPU, and GPU on GPU. This project, as I mentioned, is an anomaly for me.

have you installed the Cuda toolkit from nvidia?

It is not necessary to install the Nvidia SDK toolkit to crunch with a gpu.

The runtime components of the standard drivers are entirely sufficient.

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A proud member of the OFA (Old Farts Association)

There is a new application plan already prepared, that has to extend the host/device coverage of the 102.16 applications. We just have to wait for the new batch of WUs.

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“The good thing about science is that it's true whether or not you believe in it.” ― Neil deGrasse Tyson