2021-10-13 01:14:30 +00:00
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# tuned-amdgpu
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2021-10-18 22:31:35 +00:00
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hacky solution to integrate AMDGPU power profile control in `tuned` with Ansible
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## Notable variables
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- `card`: Sets the `card#` to use in the qualified sysfs path `/sys/class/drm/{{ card }}/device/pp_power_profile_mode`
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- `base_profiles`: List of base tuned profiles to clone in the new AMDGPU profiles
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- `amdgpu_profiles`: Mapping of AMDGPU power profiles (`name`/`value`) defined in the `sysfs` path above. Varies, sample is with a 6900XT.
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2021-10-13 02:07:36 +00:00
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## Example profiles/output
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```
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$ tuned-adm profile
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Available profiles:
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- accelerator-performance - Throughput performance based tuning with disabled higher latency STOP states
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- balanced - General non-specialized tuned profile
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- desktop - Optimize for the desktop use-case
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- desktop_amdgpu_3D_fullscreen- desktop based profile with AMDGPU pp_power_profile_mode = 1 (3D_fullscreen)
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- desktop_amdgpu_VR - desktop based profile with AMDGPU pp_power_profile_mode = 4 (VR)
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- desktop_amdgpu_bootup_default- desktop based profile with AMDGPU pp_power_profile_mode = 0 (bootup_default)
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- desktop_amdgpu_compute - desktop based profile with AMDGPU pp_power_profile_mode = 5 (compute)
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- desktop_amdgpu_custom - desktop based profile with AMDGPU pp_power_profile_mode = 6 (custom)
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- desktop_amdgpu_powersaving - desktop based profile with AMDGPU pp_power_profile_mode = 2 (powersaving)
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- desktop_amdgpu_video - desktop based profile with AMDGPU pp_power_profile_mode = 3 (video)
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- hpc-compute - Optimize for HPC compute workloads
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- intel-sst - Configure for Intel Speed Select Base Frequency
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- latency-performance - Optimize for deterministic performance at the cost of increased power consumption
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- network-latency - Optimize for deterministic performance at the cost of increased power consumption, focused on low latency network performance
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- network-latency_amdgpu_3D_fullscreen- network-latency based profile with AMDGPU pp_power_profile_mode = 1 (3D_fullscreen)
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- network-latency_amdgpu_VR - network-latency based profile with AMDGPU pp_power_profile_mode = 4 (VR)
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- network-latency_amdgpu_bootup_default- network-latency based profile with AMDGPU pp_power_profile_mode = 0 (bootup_default)
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- network-latency_amdgpu_compute- network-latency based profile with AMDGPU pp_power_profile_mode = 5 (compute)
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- network-latency_amdgpu_custom- network-latency based profile with AMDGPU pp_power_profile_mode = 6 (custom)
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- network-latency_amdgpu_powersaving- network-latency based profile with AMDGPU pp_power_profile_mode = 2 (powersaving)
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- network-latency_amdgpu_video- network-latency based profile with AMDGPU pp_power_profile_mode = 3 (video)
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- network-throughput - Optimize for streaming network throughput, generally only necessary on older CPUs or 40G+ networks
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- optimize-serial-console - Optimize for serial console use.
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- powersave - Optimize for low power consumption
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- powersave_amdgpu_3D_fullscreen- powersave based profile with AMDGPU pp_power_profile_mode = 1 (3D_fullscreen)
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- powersave_amdgpu_VR - powersave based profile with AMDGPU pp_power_profile_mode = 4 (VR)
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- powersave_amdgpu_bootup_default- powersave based profile with AMDGPU pp_power_profile_mode = 0 (bootup_default)
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- powersave_amdgpu_compute - powersave based profile with AMDGPU pp_power_profile_mode = 5 (compute)
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- powersave_amdgpu_custom - powersave based profile with AMDGPU pp_power_profile_mode = 6 (custom)
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- powersave_amdgpu_powersaving- powersave based profile with AMDGPU pp_power_profile_mode = 2 (powersaving)
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- powersave_amdgpu_video - powersave based profile with AMDGPU pp_power_profile_mode = 3 (video)
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- throughput-performance - Broadly applicable tuning that provides excellent performance across a variety of common server workloads
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- virtual-guest - Optimize for running inside a virtual guest
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- virtual-host - Optimize for running KVM guests
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2021-10-18 22:31:35 +00:00
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```
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