- This paper presents a supervised learning based power management framework for a multi-processor system, where a power manager (PM) learns to predict the system performance state...
Power management has become increasingly necessary in large-scale datacenters to address costs and limitations in cooling or power delivery. This paper explores how to integrate p...
Abstract— We present an efficient algorithm for power allocation and bit loading in multi-user OFDM system. We starts with the close-form optimum power solution based on ideal c...
An in-situ self-aware adaptive power control (APC) system is presented in this paper. This APC system consists of a voltage sensor, a variable threshold comparator, slack detectio...
We present a high-level synthesis algorithm solving the combined scheduling, allocation and binding problem minimizing area under both latency and maximum power per clock-cycle co...