Abstract— Power dissipation has constrained the performance boosting of modern computer systems in the past decade. Dynamic power management (DPM) has been implemented in many sy...
Kai Huang, Luca Santinelli, Jian-Jia Chen, Lothar ...
Abstract. Until now, the great majority of research in low-power systems has assumed a convex power model. However, recently, due to the confluence of emerging technological and ar...
Ani Nahapetian, Foad Dabiri, Miodrag Potkonjak, Ma...
—In lattice-coded multiple-input multiple-output (MIMO) systems, optimal decoding amounts to solving the closest vector problem (CVP). Embedding is a powerful technique for the a...
Cong Ling, Shuiyin Liu, Laura Luzzi, Damien Stehl&...
In today's embedded systems, memory hierarchy is rapidly becoming a major factor in terms of power, performance and area. This is especially true for embedded multimedia appl...
Youcef Bouchebaba, Gabriela Nicolescu, El Mostapha...
- 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...