Hartmut> You are certainly right that I can (and maybe should) run a Hartmut> real 64bit kernel. I am already in the process of doing it, Hartmut> but there are so many programs to install and configure that Hartmut> it is going to take some time until my 64bit jessie can take Hartmut> over.
I don't think you need to do anything more than install the 64bit kernel from the current distro and let apt-get install all the dependencies for you. Thne you just reboot and it should (knock on wood!) work. Hartmut> But I had the same problem with 4G of RAM. So this is not a Hartmut> "more than 4GBytes of RAM is too much on a 32bit kernel" only Hartmut> problem. Sure, but I think the problem is that geeqie (or the libraries it depends on) are too aggresive with memory usage, which causes problems when you exhaust all the memory it can access. When running a 32bit program, even on a 12gb machine, a process can only access about 3gb worth of data at any one time no matter what as I recall. Now you can have multiple processes using lots of memory, but I think you can only use 3gb (not 4gb, since you need to leave the other 1gb for system libraries and such) of process memory space. And thinking on it, it might even be limited to just 2g/2g split. Hartmut> I would like to understand why the system becomes unstable. Hartmut> "Too much RAM" sounds too easy. There must be at least one Hartmut> bug to find. I suspect geeqie does have memory problems. I'll have to try and see if I can find the time to spin it up in a 32bit VM and see what happens. Or even on a rapsberryPi as a test. Hartmut> And I want to run all my tests on 64bit jessie as well. I Hartmut> have not seen geeqie perform well under that condition yet. If you can get this same issue to happen under a 64bit OS, kernel and geeqie version, then that would be interesting for sure. And something I could maybe even help out with testing out. John ------------------------------------------------------------------------------ Transform Data into Opportunity. Accelerate data analysis in your applications with Intel Data Analytics Acceleration Library. Click to learn more. http://makebettercode.com/inteldaal-eval _______________________________________________ Geeqie-devel mailing list Geeqie-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/geeqie-devel
