Energy consumption has been widely studied in the computer architecture field for decades.
While the adoption of energy as a metric in machine learning is emerging, the majority of …

Abstract Machine learning algorithms are responsible for a significant amount of
computations. These computations are increasing with the advancements in different …

This article examines a hardware multithreaded microprocessor and discusses the impact
such an architecture has on existing software energy modeling techniques. A framework is …

As mobile devices and data-centers expand to cover global needs for services and personal
computing, power consumption of systems and devices has become the most prevalent …

Energy transparency is a concept that makes a program's energy consumption visible, from
hardware up to software, through the different system layers. Such transparency can enable …

This book is based on my dissertation. Thus, it presents my work in the area of power
estimation at Electronic System Level as a research assistant of Professor Leupers at the …

Society's increasing dependence on information technology has resulted in the deployment
of vast compute resources. The energy costs of operating these resources coupled with …

Since the end of the nineties, power dissipation has been regarded as a first order design
constraint in processors. Increased power dissipation along with the resultant rise in die …

This paper revisits and extends a general linear programming (LP) formulation to exploit
multiple knobs such as multi-L gate footprint-compatible libraries and post-layout L gate …

The increasing demand for portable computing has elevated power consumption to be one
of the most critical embedded systems design parameters. In this paper, we present a …