A geometric program (GP) is a type of mathematical optimization problem characterized by
objective and constraint functions that have a special form. Recently developed solution …

Since Moore's law driven scaling of planar MOSFETs faces formidable challenges in the
nanometer regime, FinFETs and Trigate FETs have emerged as their successors. Owing to …

Approximate computing is an emerging approach for reducing the energy consumption and
design complexity in many applications where accuracy is not a crucial necessity. In this …

Approximate computing is a new paradigm for designing energy-efficient integrated circuits
at the nanoscale. In this paper, we propose efficient imprecise 4: 2 and 5: 2 compressors by …

Approximate computing is a new trend that trades off computational accuracy for lower
energy dissipation and design complexity in various applications, where high precision is …

Fin-type field-effect transistors (FinFETs) are promising substitutes for bulk CMOS in nano-
scale circuits. In this paper, it is observed that in spite of improved device characteristics …

Approximate computing is an effective paradigm for energy-efficient hardware design in
nanoscale. In this study, an efficient 4: 2 compressor for approximate computing in the nano …

This paper describes the electrode work-function, oxide thickness, gate-source/drain
underlap, and silicon thick ness optimization required to realize dual-V th independent-gate …

FinFET is a multiple-gate silicon transistor structure that nowadays is attracting an extensive
attention to progress further into the nanometer era by going beyond the downscaling limit of …

Abstract Quantum-dot Cellular Automata (QCA) is novel prominent nanotechnology. It
promises a substitution to Complementary Metal–Oxide–Semiconductor (CMOS) technology …