This will be automatically mounted to /vol_b, we want to mount instead to /var/lib/docker: sudo systemctl stop docker We can create a volume of 10/20 GB in the Jetstream control panel and attach it to the running Virtual Machine. So we have more space, less usage of the root filesystem and no issues on the OS if we get out of disk space. It is ideal to have a dedicated Jetstream Volume and mount it in the location where Docker stores its data. (Optional) Mount a Jetstream Volume for docker images Prepare a Jetstream Virtual Machineįirst we login on the Atmosphere Jetstream control panel and create a new instance of Ubuntu 16.04 with Docker preinstalled, a “small” size is enough for testing. The deployment will be based on the Docker setup developed by the project. All US scientists can get a free allocation on Jetstream via XSEDE. In this post we’ll deploy a BOINC server on Jetstream. Scientists can create a project on the platform and submit computational jobs that will be executed on computers of volunteers all over the world. I disabled XMP Profile on memory a long time ago which makes it run a lot slower than its XMP speed rating, but as you can see still crashing crashing crashing crashing.BOINC is the leading platform for volunteer computing. I found your saying about 元 Cache and RAM pretty interesting, and so wondered if that may be relevant to why I'm having issues with tasks and if you had crashing issues too. It's just that with it is the single most likely thing to ever cause a crash on my PC, tens of times more likely than with other projects. CPU can also cause crash, and I've had quite an awful lot of crashes with Call of Duty video games in particular. or even BOINC isn't the only thing that can cause my computer to crash. This crashing issue is something I've had for a long time (more than a year) now, but still haven't been able to single out what's causing the problem yet. With 8 concurrent Python tasks, the memory usage is about 16 GB I think. If I have two 8-thread Atlas Sim 2.00 tasks running, the memory usage goes over 20 GB. The tasks I have in queue do use virtualisation (with Virtualbox). Opening a new browser window for example would take maybe 5 seconds instead of being instantaneous if I run Python Virtualbox, or (both set to maximum CPU usage and high memory use). I do notice that with some BOINC projects, the smoothness and 'responsiveness' of my system is significantly lower than with other tasks. Sounds like DDR5 is quite a badly needed tech then for more efficient high perf. Could it be an unstable RAM clock? Maybe it heats up when you stress it? Or a HW issue?Īhh, okay. Is LHC using virtualbox? That one often needs more RAM. Something like ~0,8 元 cache hit rate still feels usable. So I was trying to balance it out with few Rosetta tasks and majority TN grid tasks. The system stays responsive and you have almost no idea that you are running calculations. This results in a core time usage above ~55%. Animations go laggy.Ĩx TN grid on a quad core keeps 元 cache hit rate above 0,9 and almost does not use RAM. This also really slows down responsivness of the system. The difference can be quite big.Ĩx Rosetta VM on a quad core can easily get me below 0,5 hit rate on 元 Cache, fully saturate RAM bandwith and reduce the actual core time use to 30%. When the CPU does not find data in 元 cache, it needs to wait until it gets ot from RAM and it wastes time doing that. But you have only limited amount of L1,2,3 Cache and limited RAM bandwitdh to satisfy needs of the CPU. If your devices are running hot, and you can't add cooling, you can reduce heat by limiting the amount of CPU BOINC is permitted to use.ĭoes this sidebar need an addition or correction? Tell me hereĭifferent tasks use different amounts of memory. You run the risk of seriously damaging the components, or even starting a fire. ✻ Smokey says: consider the environmental impact of everything you do to fight climate change! Be smart with your electronics, never operate them with inadequate ventilation. Users can decide which projects they participate in, using the free and open-source BOINC client software. A subreddit dedicated to all things BOINC, a platform enabling the public to volunteer their computer's processing capability towards research projects distributed across the globe.
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