Up By Their Bootstraps: Online Learning in Artificial Neural Networks for CMP Uncore Power Management
by Jae-Yeon Won, Xi Chen, Paul Gratz and Jiang Hu, from Texas A&M University and Vassos Soteriou from Cyprus University of Technology This paper is focusing on the power management of un-core structure: Last-Level Cache (LLC) and Network-on-Chip (NoC). The method is using online learning ANN and assisted by PI control. They compare the offline/online ANN and many combination of different optimization method. Overall, they reduce the energy-delay product of uncore system by 27% versus state-of-the-art methodologies. Motivation of this paper: 1. The non-core (uncore) structure also consume lot of energy in modern CMP since the number and communication between cores increasing. 2. Most of previous core power management focused on either core DVFS or DVFS domain partitioning around cores and merely including a slice of the uncore. 3. In reality, the applications often have abrupt changes, which cannot be captured by rule-based controller like PI (Proportional Integral). M...