Massoud Pedram

TL;DR: Experimental results demonstrate that the approach taken can achieve 6% to 15% power conversion efficiency enhancement, which translates to up to 30% reduction in the power losses incurred during power conversion in smartphones.

TL;DR: Experiments show that DNR consistently finds compressed models with better clean and adversarial image classification performance than what is achievable through state-of-the-art alternatives.

TL;DR: This paper is the first to present a comprehensive analysis of the profitability of the hybrid electrical energy storage (HEES) systems while further providing a HEES design and control optimization framework to maximize the total return on investment (ROI).

TL;DR: An energy-efficient approximate CGRA that employs configurable approximate adders and multipliers in the so-called quality-scalable processing elements (QSPEs) and selects appropriate approximation modes in order to lower the energy consumption while satisfying a user-defined quality constraint is presented.

TL;DR: This paper proposes to instrument the Android kernel in order to collect and report accurate subsystem activity values based on real-time profiling of the running applications, and describes a novel application design framework, which considers the batterys state-of-charge (SOC), batterys energy depletion rate, and service quality of the target application.