dany/meta-sunxi
1
0
Fork 0
mirror of https://github.com/linux-sunxi/meta-sunxi.git synced 2024-07-01 11:39:47 +02:00
Code Issues Packages Projects Releases Wiki Activity
Official sunxi OpenEmbedded layer for Allwinner-based boards.
240 Commits 30 Branches 0 Tags 12 MiB
C 64.8%
BitBake 18.8%
PHP 10%
C++ 3.6%
Batchfile 1.6%
Other 1.1%
eeb41f14c8
Go to file
Jens Lucius eeb41f14c8 Add more devices (LimeA10, Lime2, A13SOM, Forfun Q88DB) 
Add Olimex Boards Olinuxino A10 Lime, A20 Lime2, A13SOM and Forfun
A13 Tablet. Sort all machine names in recipes alphabetically.
2015-03-03 18:09:46 +01:00
classes sdcard_image-sunxi.bbclass: reverting to deploy dir instead of staging dir (resolves #81) 2015-02-01 13:22:11 +01:00
conf Add more devices (LimeA10, Lime2, A13SOM, Forfun Q88DB) 2015-03-03 18:09:46 +01:00
recipes-bsp Add more devices (LimeA10, Lime2, A13SOM, Forfun Q88DB) 2015-03-03 18:09:46 +01:00
recipes-devtools/python pyA20: Add more olimex boards 2015-03-02 16:39:10 +01:00
recipes-graphics Add more devices (LimeA10, Lime2, A13SOM, Forfun Q88DB) 2015-03-03 18:09:46 +01:00
recipes-kernel/linux Add more devices (LimeA10, Lime2, A13SOM, Forfun Q88DB) 2015-03-03 18:09:46 +01:00
recipes-multimedia/gstreamer gst-plugin-cedar: import PoC gstreamer 0.10 plugin 2014-01-16 13:52:23 +01:00
recipes-support/sunxi-tools added A20 to description 2014-09-08 12:16:10 +02:00
COPYING.MIT allwinner-a10: initial import. 2012-06-03 19:47:57 +02:00
README.md README: update email 2014-07-26 14:27:02 +02:00

README.md

meta-sunxi

Official sunxi OpenEmbedded layer for Allwinner-based boards.

This layer depends on the additional layer:

meta-openembedded: git://git.openembedded.org/meta-openembedded

Tested with core-image-base.

Maintainers:

Performance

The default machine settings are meant to be the lowest common denominator, maximizing generality. Significantly better performance (2x-3x) can be achieved with the following settings:

Allwinner A20

For Allwinner A20 (Cubieboard2/CubieTruck), the following tuning options are recommended:

Enable hardfloat, thumb2 and neon capabilities

DEFAULTTUNE = "cortexa7hf-neon-vfpv4"

This tuning profile takes advantage of the Allwinner A20 hardfloat, neon and vfpv4 capabilities.

Change CPU governor to ondemand, and tune settings

echo ondemand > /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor
echo 336000 > /sys/devices/system/cpu/cpu0/cpufreq/scaling_min_freq
echo 912000 > /sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq
#More aggressive
#echo 1008000 > /sys/devices/system/cpu/cpu0/cpufreq/scaling_max_freq
echo 40 > /sys/devices/system/cpu/cpufreq/ondemand/up_threshold
echo 200000 > /sys/devices/system/cpu/cpufreq/ondemand/sampling_rate

This code changes the default CPU governor from fantasy to ondemand, and tunes its settings, as recommended at http://linux-sunxi.org/Cpufreq

For additional discussion, see https://github.com/linux-sunxi/meta-sunxi/issues/25