Welcome to the International Workshop on Adaptive Power Management with Machine Intelligence (APMMI)!

APMMI is held as part of the International Conference on Computer-Aided Design (ICCAD).


It is reported by the U.S. Environmental Protection Agency that in order for the U.S. to keep a sustained growth, it is important to curb its energy use and carbon emission. Particular effort is needed to control the power and energy consumption of IT facilities, from computing clusters, data centers, desktop and laptop computers, to consumer electronics. Effective power management will help to relieve the power bottleneck of today’s VLSI design and accelerate the growth of the information technology industries.

A robust power management system should be able to work on different types of hardware with variable workload. The ability to adapt to the environment is the key to maintain its efficiency. Artificial intelligence techniques such as machine learning, data classification and pattern recognition have recently been successfully applied in many applications from autonomous resource management to adaptive architecture reconfiguration. The integration of low power techniques with machine intelligence will lead to a new research direction that leads to autonomous power optimization with minimum user intervenes.

This workshop aims at providing a forum for academia researchers and industrial experts to discuss issues and exchange research advances on adaptive power optimization and resource management using machine intelligence approaches. It will also provide a communication channel between engineers in computer aided design and experts in artificial intelligence to facilitate cross-domain collaboration.