You don't have to run the stock SoG Linux apps at Seti. Most Linux users run the CUDA8 or CUDA9 gpu apps which are about 10 times faster.

I run what does not fail. Times are not important. I am running SETI@home on a ulefone smart watch, on a Linux box and a Windows 10 PC.
Tullio

Of course ulefone is a smart phone, not a smart watch as I wrote. It runs Android 7.1.1 and has also a GPU which SETI sees but Einstein does not. Or maybe their BOINC servers. It has eight processors and a 4 GB RAM.
tullio

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You don't have to run the stock SoG Linux apps at Seti. Most Linux users run the CUDA8 or CUDA9 gpu apps which are about 10 times faster.

I don't see any CUDA8 or CUDA9 apps on the list of SETI@home applications. The highest CUDA version used for Linux is 6.0.

You don't have to run the stock SoG Linux apps at Seti. Most Linux users run the CUDA8 or CUDA9 gpu apps which are about 10 times faster.

I don't see any CUDA8 or CUDA9 apps on the list of SETI@home applications. The highest CUDA version used for Linux is 6.0.

SETI has a long history of encouraging volunteer developers to improve their stock applications. The best of the resulting applications (with high reliability and high validations rates) are accepted as new stock applications - the opencl_nvidia_SoG application mentioned earlier is one such. The cuda8 and cuda9 apps are candidates, but haven't yet reached a sufficient level of acceptance to be deployed as stock.

I run what does not fail. Times are not important.

Then it would fit the above ideas if you would lower the power target and/or the clock frequency of your GTX 1050 Ti to make it stable with the GPUGrid app, right?

I am not a GPU expert and uses default values both on the 1050 Ti on the Windows 10 PC and 750 Ti on the Linux box. This last runs GPUGRID GPU tasks with no problem, so I leave 1050 Ti to run SETI@home tasks.
Tullio

hello to all the guys in a while comes the super NVIDIA GeForce GTX 1180 https://www.techpowerup.com/gpudb/3224/geforce-gtx-1180 I can not wait for me that you think of this new graphics card ?

This thread is supposed to be about a license expiring, and how that broke Windows GPU applications.

If your conversation isn't about "a license expiring, and how that broke Windows GPU applications", then please start a separate thread.

Thank you,
Jacob Klein

You don't have to run the stock SoG Linux apps at Seti. Most Linux users run the CUDA8 or CUDA9 gpu apps which are about 10 times faster.

I don't see any CUDA8 or CUDA9 apps on the list of SETI@home applications. The highest CUDA version used for Linux is 6.0.

SETI has a long history of encouraging volunteer developers to improve their stock applications. The best of the resulting applications (with high reliability and high validations rates) are accepted as new stock applications - the opencl_nvidia_SoG application mentioned earlier is one such. The cuda8 and cuda9 apps are candidates, but haven't yet reached a sufficient level of acceptance to be deployed as stock.

I'm curious as to where the threshold is "for a sufficient level of acceptance" for the CUDA special apps. What is the target? I have less than a 2.5% ratio of Inconclusives to Valid tasks. I think the stated goal for the science apps is less than a 5% Inconclusive ratio. On my systems, I believe I have reached a "sufficient level of acceptance". I see no reason not to have the zi3v special app qualify for stock.

You don't have to run the stock SoG Linux apps at Seti. Most Linux users run the CUDA8 or CUDA9 gpu apps which are about 10 times faster.

I don't see any CUDA8 or CUDA9 apps on the list of SETI@home applications. The highest CUDA version used for Linux is 6.0.

SETI has a long history of encouraging volunteer developers to improve their stock applications. The best of the resulting applications (with high reliability and high validations rates) are accepted as new stock applications - the opencl_nvidia_SoG application mentioned earlier is one such. The cuda8 and cuda9 apps are candidates, but haven't yet reached a sufficient level of acceptance to be deployed as stock.

I'm curious as to where the threshold is "for a sufficient level of acceptance" for the CUDA special apps. What is the target? I have less than a 2.5% ratio of Inconclusives to Valid tasks. I think the stated goal for the science apps is less than a 5% Inconclusive ratio. On my systems, I believe I have reached a "sufficient level of acceptance". I see no reason not to have the zi3v special app qualify for stock.

It's not the performance on any one machine - yours, or anybody else's. You would have to convince Eric Korpela (and nobody else) that the overall validation rate, across all computers that might be eligible - under the rules of eligibility that you will have to supply him with - to download the app, will be acceptable within the project's standards. Which I don't know, but Eric does.

My personal validation rate at this moment is 17 inconclusive from 1038 valid, with the SoG app on NVidia under Windows. Previous experience tells me that the inconclusives are usually against wingmates running 'the usual suspects' - yup, there's a v8.00 (opencl_intel_gpu_sah) x86_64-apple-darwin in there. That's why offline bench testing against known good reference results is so important - it eliminates the variability of unverified wingmates.

Hello,

Next applications "Long runs (8-12 hours on fastest card) v9.22 (cuda80)" don't work and will be rejected. What is up ?

greetz

Hello,

Next applications "Long runs (8-12 hours on fastest card) v9.22 (cuda80)" don't work and will be rejected. What is up ?

greetz

See this thread.
https://www.gpugrid.net/forum_thread.php?id=4822