anyone have any ideas or suggestions for a live folding environment, possibly ubuntu or some custom linux that someone might have helpfully made
running SMP client is essential, and GPU would be beneficial, and persistent changes would also be useful. i'd like this because i have sporadic access to various computers that i'm keen to use to help us hit that 100M, but they won't be able to run for long enough periods to individually finish WU on time
that make sense? any input would be appreciated


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). You can also pass through network connections to upload and download work units, although I seem to remember that last time I tried that (about 3 years!) I had difficulty making it work.


) it turns out the virtualising the network requires a TAP driver on windows that you can get as part of the openvpn package. I've also found a link to *just* the TAP driver for Windows x64 but it's a command line installer with minimal documentation
However, I'm thinking that QEMU virtualised SMP client + native GPU clients might be the way to go when I have PCP finished...
). However, I can't get the tap tp play with damn small linux, and the Win 7 install appears to stall after you click the "install Windows" button. I don't have an XP ISO handy at home some I'm going to burn one at work and try again either at the weekend or some time next week. However, given the amount you have to mess around with TAP and bridging network connections, it's not going to be good for churning through lots of WUs. However, if you've got access to lots of different computers for a few hours each then it would work to run through units a bit at a time, and you could upload and download at the end of each unit from a dedicated machine.
right?) and accessing Google. So, with a successful network connection from the VM, and the VM full portable, there's no reason why I can't just stick that all on a USB stick and then run a preset folding environment on any computer I can sit down at. Seems pretty cool to me. Next thing will be to find the acceleration packages and see how much it boosts the speed (and also if they can be run prtably or if they need installing...).
