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World Community Grid Forums
Category: Active Research
Forum: OpenPandemics - COVID-19 Project
Thread: (please, forward to Scripps' researchers): two less known DC-projects working on Sars-Cov2 |
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Thread Status: Active Total posts in this thread: 36
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Aurum
Master Cruncher The Great Basin Joined: Dec 24, 2017 Post Count: 2391 Status: Offline Project Badges: 
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It does not appear that Q@H recognizes and uses a second GPU. There's no way to contact the aleph person. Anyone know how to get Q@H to use all GPUs???
----------------------------------------  ...KRI please cancel all shadow-banning |
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Aurum
Master Cruncher The Great Basin Joined: Dec 24, 2017 Post Count: 2391 Status: Offline Project Badges:
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Does anyone know how to restart Q@H? This is what I get after rebooting:
----------------------------------------aurum@Rig-11:~$ sudo docker build -t quarantinegpu -f Dockerfile.gpu . && sudo nvidia-docker run -it -e ME=Aurum quarantinegpu unable to prepare context: unable to evaluate symlinks in Dockerfile path: lstat /home/aurum/Dockerfile.gpu: no such file or directory ...KRI please cancel all shadow-banning |
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Jim1348
Veteran Cruncher USA Joined: Jul 13, 2009 Post Count: 1066 Status: Offline Project Badges: 
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I am not sure whether I am ahead of you or, more likely, behind you.
----------------------------------------But I tried to install it on an Ubuntu 18.04.4 machine with a GTX 1070, and Nvidia driver 435 (though I tried 390 and 440 also). The Dockers are installed OK: Docker version 19.03.8, build afacb8b7f0 nvidia-docker2 is already the newest version (2.2.2-1) But it all falls apart after that: docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi docker: Error response from daemon: Unknown runtime specified nvidia. See 'docker run --help' I think the versions I have are too new. They seem to be beyond was is listed on Github. I will let them fix it. [Edit 1 times, last edit by Jim1348 at May 18, 2020 5:30:54 PM] |
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Aurum
Master Cruncher The Great Basin Joined: Dec 24, 2017 Post Count: 2391 Status: Offline Project Badges:
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I am not sure whether I am ahead of you or, more likely, behind you. I wish I understood these commands but I tried different variations until I found something that worked.But I tried to install it on an Ubuntu 18.04.4 machine with a GTX 1070, and Nvidia driver 435 (though I tried 390 and 440 also). The Dockers are installed OK: Docker version 19.03.8, build afacb8b7f0 nvidia-docker2 is already the newest version (2.2.2-1) But it all falls apart after that: docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi docker: Error response from daemon: Unknown runtime specified nvidia. See 'docker run --help' I think the versions I have are too new. They seem to be beyond was is listed on Github. I will let them fix it. For first time nvidia-docker users these 2 commands do nothing, skip to install. Make sure all nvidia-dockers are removed first: sudo docker volume ls -q -f driver=nvidia-docker | xargs -r -I{} -n1 docker ps -q -a -f volume={} | xargs -r docker rm -f sudo apt-get purge nvidia-docker Install nvidia-docker 2.0. First install the repository for your distribution: curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu18.04/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list sudo apt-get update sudo apt-get install nvidia-docker2 -y sudo pkill -SIGHUP dockerd sudo docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi git clone https://github.com/cjmielke/quarantineAtHome && cd quarantineAtHome Run Quarantine@Home: sudo docker build -t quarantinegpu -f Dockerfile.gpu . && sudo nvidia-docker run -it -e ME=Aurum quarantinegpu ...KRI please cancel all shadow-banning |
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Jim1348
Veteran Cruncher USA Joined: Jul 13, 2009 Post Count: 1066 Status: Offline Project Badges:
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Aurum420,
Thanks. There is still a bit of a problem until you restart the daemon. sudo systemctl daemon-reload sudo systemctl restart docker https://github.com/NVIDIA/nvidia-docker/issues/838 Then you can run "docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi" and it downloads properly, though I still have to check everything out. $ docker run --runtime=nvidia --rm nvidia/cuda nvidia-smi |
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Jim1348
Veteran Cruncher USA Joined: Jul 13, 2009 Post Count: 1066 Status: Offline Project Badges:
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One additional point: You then have to switch to the "quarantineAtHome" folder in your home directory, and then open up a terminal window to run:
sudo docker build -t quarantinegpu -f Dockerfile.gpu . sudo nvidia-docker run -it -e ME=anonymous quarantinegpu Everything seems to compile/install/whatever after that, though actually getting Quarantine to run will have to wait for a little later. It is remarkable how badly Linux documentation is done. |
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Speedy51
Veteran Cruncher New Zealand Joined: Nov 4, 2005 Post Count: 1326 Status: Offline Project Badges: 
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If they get a Windows GPU client I could be interested until then I will sit tight
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Jim1348
Veteran Cruncher USA Joined: Jul 13, 2009 Post Count: 1066 Status: Offline Project Badges:
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If they get a Windows GPU client I could be interested until then I will sit tight They say they do, but I haven't tried it. https://quarantine.infino.me/ I suppose we should stop hijacking the WCG forums, but it is now working well for me on two Ubuntu 18.04.4 machines. The second one somehow avoided the setup glitches of the first one. I doubt that the science is as good as OPN, but it is fast on GPUs, for what that is worth. |
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Speedy51
Veteran Cruncher New Zealand Joined: Nov 4, 2005 Post Count: 1326 Status: Offline Project Badges:
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If they get a Windows GPU client I could be interested until then I will sit tight They say they do, but I haven't tried it. https://quarantine.infino.me/ I suppose we should stop hijacking the WCG forums, but it is now working well for me on two Ubuntu 18.04.4 machines. The second one somehow avoided the setup glitches of the first one. I doubt that the science is as good as OPN, but it is fast on GPUs, for what that is worth. I don't see that we are hijacking the WCG forum because it is on the topic about this project. The reason why I do not think the GPU client is for windows is because it is listed beside Linux. Linux | Docker | GPU |
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