Abstract

Research in power management is currently limited by the fact that companies do not release enough documentation or interfaces to fully exploit the potential found in modern processors. 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 the power management features of modern NVIDIA GPUs that have been found through reverse engineering. The paper finally discusses about the possibility of achieving self-management on NVIDIA GPUs and also discusses the future challenges that will be faced by researchers to study and improve on autonomic systems.