Search found 9 matches
- Sat Apr 18, 2020 11:50 am
- Forum: V7.5.1 Public Release Windows/Linux/MacOS X [deprecated]
- Topic: Linux Python Dependency
- Replies: 7
- Views: 2008
Re: Linux Python Dependency
Fahcontrol is not a requirement for folding so it is safe to not install it. You could pull the repo from github and apply the pull requests and get it to work that way. Alternatives are to install the python2 package for Ubuntu until python3 support gets implemented. Yup I'm pulling the modified r...
- Sat Apr 18, 2020 11:28 am
- Forum: V7.5.1 Public Release Windows/Linux/MacOS X [deprecated]
- Topic: Linux Python Dependency
- Replies: 7
- Views: 2008
Re: Linux Python Dependency
Awesome. Thanks panther!
- Sat Apr 18, 2020 10:35 am
- Forum: V7.5.1 Public Release Windows/Linux/MacOS X [deprecated]
- Topic: FahCore_2 needlessly wasting CPU cycles.
- Replies: 14
- Views: 4051
Re: FahCore_2 needlessly wasting CPU cycles.
Please note that unfortunately, the CPU usage of FahCore_22 is caused by the implementation of Nvidia's OpenCL implementation. The implementation uses spin-wait (polling) and will always use 1 CPU for that. I would suggest that you can pass your feedback to the Nvidia developers so that they can up...
- Sat Apr 18, 2020 10:33 am
- Forum: V7.5.1 Public Release Windows/Linux/MacOS X [deprecated]
- Topic: Linux Python Dependency
- Replies: 7
- Views: 2008
Re: Linux Python Dependency
I understand that the previous LTS are still supported but my work requires me to compile with the latest compilers rather than gcc 8 on 18.04 so I have not choice but to use the bleeding edge ubuntu and dual booting 18.04 and 20.04 is eating into my limited space. That's why I was hoping that the c...
- Sat Apr 18, 2020 10:01 am
- Forum: V7.5.1 Public Release Windows/Linux/MacOS X [deprecated]
- Topic: FahCore_2 needlessly wasting CPU cycles.
- Replies: 14
- Views: 4051
Re: FahCore_2 needlessly wasting CPU cycles.
Please note that unfortunately, the CPU usage of FahCore_22 is caused by the implementation of Nvidia's OpenCL implementation. The implementation uses spin-wait (polling) and will always use 1 CPU for that. I would suggest that you can pass your feedback to the Nvidia developers so that they can up...
- Sat Apr 18, 2020 9:52 am
- Forum: V7.5.1 Public Release Windows/Linux/MacOS X [deprecated]
- Topic: Linux Python Dependency
- Replies: 7
- Views: 2008
Linux Python Dependency
Hi guys, previously I tried to install FAHClient on Ubuntu 19.10 and one package that was depreciated was python-gtk2. I was wondering if v7.6 has solved the need for that dependency yet. Also I have tested out Ubuntu 20.04 beta and it seems that the canonical team has depreciated python2 in favor o...
- Thu Apr 16, 2020 7:50 am
- Forum: Discussions of General-FAH topics
- Topic: Fireside Chat Suggestions
- Replies: 7
- Views: 1041
Re: Fireside Chat Suggestions
Hi Panther, thanks for the welcome! Yes I totally understand that, some people might have very little storage space or low speed but there are some with huge storage servers and high speed as well, which is why giving the option for people like us an option to host a work server would be awesome. Fo...
- Thu Apr 16, 2020 6:49 am
- Forum: Discussions of General-FAH topics
- Topic: Fireside Chat Suggestions
- Replies: 7
- Views: 1041
Re: Fireside Chat Suggestions
Those are some very valid points. Maybe the work servers could be distributed but the FAH team would still maintain the stats server and assign server and those server would have their IP address hardcoded into the distributed work server code. The distributed work servers could work in a way like t...
- Thu Apr 16, 2020 5:39 am
- Forum: Discussions of General-FAH topics
- Topic: Fireside Chat Suggestions
- Replies: 7
- Views: 1041
Fireside Chat Suggestions
Long time lurker, first time poster here! I just watched the fireside dev chat and I understand that the suggestion for a distributed file system was suggested to combat the lack of space for the completed WUs but what if the work server software was distributed as well such that people all over the...