I started one docker container by specifying the cpuset to 1 cores:
docker run --cpuset-cpus="0"...
A second one by specifying the cpuset to 4 cores:
docker run --cpuset-cpus="0-3"...
I launched a load process within each container and I monitored the cpu consumption for both containers.
The load process is like:
ffmpeg input > output
I have observed that there is no improvement in term of execution time between both containers (no speed up).
Do you have any idea why there is no improvements? container with 4 cores should run faster than 1 core container right ?
NB: using top for 1core container
CPU0%=100%
CPU1%=0
CPU2%=0
CPU3%=0
using top for 4core container, docker chooses randomly one of 4 cores to launch the process. Sometimes it affects 30% for each core
CPU0%=0 CPU0%=30% CPU0%=0
CPU1%=100% or CPU0%=30% or CPU0%=0
CPU2%=0 CPU0%=30% CPU0%=0
CPU3%=0 CPU0%=30% CPU0%=100%
gzip
does not use multiple cores even if they are available. As a result this program is not well suited to do performance tests regarding the use of CPU cores.
Use pzip instead. see Utilizing multi core for tar+gzip/bzip compression/decompression
Also see How can I produce high CPU load on a Linux server?
conveniently the stress
tool is already available on the Docker Hub, so you can verify that the docker --cpuset-cpus
option is working correctly by running:
docker run --rm -it --cpuset-cpus="0-3" jess/stress --cpu 4
→ you will witness that all 4 cores go to 100% usage.
then by running:
docker run --rm -it --cpuset-cpus="0-1" jess/stress --cpu 4
→ you will witness that just 2 cores go to 100% usage.
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