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### Reverse engineering power management on NVIDIA GPUs - A detailed overview

#### Abstract

Power management in Open Source operating systems is currently limited by the fact that hardware companies do not release enough documentation to write the most power-efficient drivers. This problem is even more present in GPUs despite having the highest performance-per-Watt ratio found in today's processors.
This paper presents an overview of GPUs from a power management point of view and 
what power management features have been found when reverse engineering modern NVIDIA GPUs. This paper finally discusses about the possibility of achieving self-management on NVIDIA GPUs and also discusses the future challenges that will be faced by the community when autonomic systems like Broadcom's videocore will become mainstream.

#### Links

* [[Paper|xdc2013-nvidia_pm.pdf]]
* [[Slides|xdc2013_prez.pdf]]
* Videos: [[youtube|https://www.youtube.com/watch?v=7zeEV6FvgfE]], [[mp4|http://www.x.org/videos/XDC2013/martin_peres-reverse_engineering_power_management_on_nvidia_gpus_a_detailed_overview.mp4]]