How to monitor the GCNANO GPU load: Difference between revisions

Latest revision as of 09:59, 8 October 2024↑

Applicable for

STM32MP15x lines, Unknown MPU, STM32MP25x lines

1. Basic usage[edit | edit source]↑

When a GPU-based animation is running on the display, the related GCNANO estimated GPU load can be monitored from the GCNANO driver level, by using the following command:

(while true; do \
gpu1=$(cat /sys/kernel/debug/gc/idle); \
sleep 4; \
gpu2=$(cat /sys/kernel/debug/gc/idle); \
echo $gpu1 $gpu2 | tr -d '\n' | tr -d ',' | tr -d 'ns' | awk -F" " '{printf("gpu load %.0f%%\n", ($10-$2)*100/($10+$12+$14+$16-$2-$4-$6-$8))}'; \
done) &

The GCNANO estimated GPU load is then periodically output in the user console as a percentage "%":

gpu load 75%
gpu load 75%
gpu load 75%

2. Tips[edit | edit source]↑

Stop monitoring the GPU load with the command kill -9 `ps -o ppid= -C sleep`. This command may not work depending on your system configuration (busybox ps features, sh shell configuration...). Alternative method is to use the command fg followed by CTRL+C in your terminal.
Debugfs^[1] configuration needs to be enabled in order to be able to monitor the GPU load from the debug directory "/sys/kernel/debug/gc".
Adjust the GPU load update period by modifying the "sleep" value (4 seconds in the above examples).
Use the dmesg^[2] command dmesg -n8 to mix both user and kernel console outputs.
The detailed calculation is: GPU load = (On-previous_On) / (Total-previous_Total) with Total=On+Off+Idle+Suspend, all variables coming from the command:

cat /sys/kernel/debug/gc/idle
On:                2,071,009,284,477 ns
Off:              11,480,071,864,263 ns
Idle:                              0 ns
Suspend:           1,242,043,838,898 ns
...

3. References[edit | edit source]↑

[1] Debugfs

[2] Dmesg and Linux kernel log

[1]

[2]

@@ Line 1: / Line 1: @@
+<noinclude>
 {{ApplicableFor
-|MPUs list=STM32MP15x, STM32MP25x
+|MPUs list=STM32MP15x, STM32MP23x, STM32MP25x
-|MPUs checklist=STM32MP13x, STM32MP15x, STM32MP25x
+|MPUs checklist=STM32MP13x, STM32MP15x, STM32MP21x, STM32MP23x, STM32MP25x
 }}
+</noinclude>
 ==Basic usage==
 When a GPU-based animation is running on the display, the related GCNANO estimated GPU load can be monitored from the GCNANO driver level, by using the following command:
-  {{Board$}} (while true; do
+  {{board$}}(while true; do \
   gpu1=$(cat /sys/kernel/debug/gc/idle); \
   sleep 4; \
@@ Line 20: / Line 22: @@
 == Tips ==
-* Stop monitoring the GPU load with the command "'''kill -9 `ps -o ppid= -C sleep`'''". This command may not work depending on your system configuration (busybox ps features, sh shell configuration...). Alternative method is to use the command "'''fg'''" followed by "'''CTRL+C'''" in your terminal.
+* Stop monitoring the GPU load with the command <code>kill -9 `ps -o ppid= -C sleep`</code>. This command may not work depending on your system configuration (busybox ps features, sh shell configuration...). Alternative method is to use the command <code>fg</code> followed by <code>CTRL+C</code> in your terminal.
 * {{Highlight|Debugfs<ref>[[Debugfs]]</ref> configuration needs to be enabled}} in order to be able to monitor the GPU load from the debug directory "/sys/kernel/debug/gc".
 * Adjust the GPU load update period by modifying the "sleep" value (4 seconds in the above examples).
-* Use the dmesg<ref>[[Dmesg and Linux kernel log]]</ref> command "'''dmesg -n8'''" to mix both user and kernel console outputs.
+* Use the dmesg<ref>[[Dmesg and Linux kernel log]]</ref> command <code>dmesg -n8</code> to mix both user and kernel console outputs.
-* The detailed calculation is: GPU load = (On-previous_On) / (Total-previous_Total) with Total=On+Off+Idle+Suspend, all variables coming from the command:
+* The detailed calculation is: <code>GPU load = (On-previous_On) / (Total-previous_Total)</code> with <code>Total=On+Off+Idle+Suspend</code>, all variables coming from the command:
-  {{Board$}} cat /sys/kernel/debug/gc/idle
+  {{board$}}cat /sys/kernel/debug/gc/idle
   On:                2,071,009,284,477 ns
   Off:              11,480,071,864,263 ns