Tried linux-image-4.9.40-bone-rt-r7.

It's 15% better for processor usage, but still a lot higher than xenomai.

 3735 root      20   0   63524  58884  10816 S 30.4 11.7   0:29.66 rtapi:0 
            
 3754 machine+  20   0   14608   9260   6644 S  3.3  1.8   0:03.32 
hal_temp_bbb        
 3766 machine+  20   0   21892  13808  11512 S  2.9  2.7   0:02.96 milltask 
           
    1 root      20   0   24748   4568   3540 S  1.3  0.9   0:07.48 systemd 
            
 1207 root      20   0   15768   3852   3516 S  1.3  0.8   0:01.67 
systemd-journal     
 1775 message+  20   0    4868   2644   2156 S  1.3  0.5   0:01.23 
dbus-daemon         
 3841 machine+  20   0    4560   2080   1712 R  1.0  0.4   0:00.60 top     
            
    4 root      -2   0       0      0      0 S  0.3  0.0   0:00.67 
ktimersoftd/0       
   10 root      20   0       0      0      0 S  0.3  0.0   0:00.83 rcuc/0   
           
 1746 root      20   0   30508   2516   1788 S  0.3  0.5   0:00.35 rsyslogd 
           

On Wednesday, September 28, 2016 at 6:10:09 AM UTC-4, Unai Antero wrote:
>
> Dear all,
>
> trying to use a SeeedStudio BeagleBone Green Wireless (+ the CRAMPS 
> board) to run machinekit, but without much success...
>
> Tried using the SD image on 
> https://rcn-ee.com/rootfs/bb.org/testing/2016-09-18/machinekit/bone-debian-8.6-machinekit-armhf-2016-09-18-4gb.img.xz
>  
> , but although it works fine on a Beagle Bone Black, the BB Green Wireless 
> refuses to boot (seems it doesn't like the 3.8 kernel...).
>
> On a second attempt, was able to start from a fresh Debian Jessie on the 
> BeagleBone Green Wireless (that uses the 4.4.9 kernel), installed 
> the 4.4.9-bone-rt-r10 kernel, and installed machinekit-rt-preempt (apt-get 
> install from packages at http://deb.machinekit.io/debian)
>
> Machinekit tries to start the CRAMPS setup, but fails as it expects things 
> to be in /sys/devices/bone_capemgr.*/slots .... and on this kernel, seems 
> things are on /sys/devices/platform/bone_capemgr/slots (among other 
> changes...)
>
> Has anyone been able to run machinekit on the BeagleBone Green Wireless? 
>
> Thanks
>

-- 
website: http://www.machinekit.io blog: http://blog.machinekit.io github: 
https://github.com/machinekit
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