Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Thermal hot spots and high temperature gradients degrade reliability and performance, and increase cooling costs and leakage power. In this paper, we explore the benefits of temper...
Ayse Kivilcim Coskun, T. T. Rosing, Keith Whisnant...
The Maximum Differential Backlog (MDB) control policy of Tassiulas and Ephremides has been shown to adaptively maximize the stable throughput of multihop wireless networks with ran...
Heterogeneous multiprocessor system-on-chips (MPSoCs) which consist of cores with various power and performance characteristics can customize their configuration to achieve higher ...
We consider the problem of rate allocation in a fading Gaussian multiple-access channel (MAC) with fixed transmission powers. Our goal is to maximize a general concave utility func...
Ali ParandehGheibi, Atilla Eryilmaz, Asuman E. Ozd...