I upgraded to 1.0b for CPUMiner and am experiencing a weird issue, not sure if anyone else is seeing this.
When running, I'll experience the occasional New job > Chips reset > Chips get new work and everything continues to process like awesomeness. Everything is running very stable and all blades are averaging over 2.8MH per side, so I'm a happy camper. But this morning I noticed a slight down-tick from my pool average so I went to investigate.
Long story short, every time one of these work resets happens I get a kworker. They're matched to the usb locations of blade halves, so eventually I'll have kworker/0:2, kworker/0:0, etc., littering my processes. And bogging down my RPi. While doing this research and at some point after it hit eight kworkers (for the 4 blades on this pi) the cpuminer instance stopped reporting work, verified poolside. So I killed my processes and went about restarting my mining loop and CPUminer just hung with no output. Looked and sure enough all eight kworker instances were there, however I cannot 'kill' them whatsoever, even prevented a reboot from the command line. Cold-rebooting my system cleared everything as expected, but now I'm running again and noticing the kworkers.
I started the process when I began writing this post, right now I've got three kworkers going. Will update if this keeps up, but may downgrade back to .9e (last place my blades lived happily without hassle). Anyone else seeing this?
Edit: Since I'm now monitoring for this, just noticed I went from kworker/0:2, 0:0, 0:1 to just kworker/0:2,0:0 over the course of a few minutes. So I'm not sure if these are processing that aren't terminating correctly or if there *should* be a kworker(s) sitting there threading out the work.
OK, latest version working now but I still get stuck with the new job_id and work_id stalls stacking up and then the miner is eventually reset (I have it set at 120.) What's going on?
It would be worth checking the latest commit, it will set a global frequency if there is no specific chip frequency set. Try to run your Blades on one frequency. The Blades might not like if the frequency isn't set uniformly.