This paper presents a hierarchical variability-aware compact model methodology based on a comprehensive simulation study of global process variation and local statistical variability on 20nm bulk planar CMOS. The area dependence of statistical variability is carefully examined in the presence of random discrete dopants; gate line edge roughness; metal gate granularity; and their combination. Hierarchical variability-aware compact models have been developed, extracted and used to evaluate the impact of process variation and statistical variability on SRAM stability and performance
Process variability is a major challenge for the design of nano scale MOSFETs due to fundamental phy...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
Semiconductor device performance variation due to the granular nature of charge and matter has becom...
In this paper a variability-aware compact modeling strategy is presented for 20-nm bulk planar techn...
Statistical variability associated with discreteness of charge and granularity of matter is one of l...
Semiconductor technology has been scaling down at an exponential rate for many decades, yielding dra...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
Variability phenomena in CMOS technologies have become a growing concern in recent years. One of the...
The five invited papers and 11 contributed papers in this special issue discuss topics such as proce...
This paper presents a TCAD based design technology co-optimization (DTCO) process for 14nm SOI FinFE...
In this paper, we present a FinFET-focused variability-aware compact model (CM) extraction and gener...
Process variability is a major challenge for the design of nano scale MOSFETs due to fundamental phy...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
Semiconductor device performance variation due to the granular nature of charge and matter has becom...
In this paper a variability-aware compact modeling strategy is presented for 20-nm bulk planar techn...
Statistical variability associated with discreteness of charge and granularity of matter is one of l...
Semiconductor technology has been scaling down at an exponential rate for many decades, yielding dra...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
It has been shown that sub 100nm SRAM is particularly sensitive to stochastic device variability. In...
Several emerging devices have been proposed to continue the CMOS scaling. To assess scalability, dev...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
Robust SRAM design is one of the key challenges of process technology scaling. The steady pace of pr...
Variability phenomena in CMOS technologies have become a growing concern in recent years. One of the...
The five invited papers and 11 contributed papers in this special issue discuss topics such as proce...
This paper presents a TCAD based design technology co-optimization (DTCO) process for 14nm SOI FinFE...
In this paper, we present a FinFET-focused variability-aware compact model (CM) extraction and gener...
Process variability is a major challenge for the design of nano scale MOSFETs due to fundamental phy...
As transistor dimensions are scaled down in accordance with Moore's Law to provide for improved perf...
Semiconductor device performance variation due to the granular nature of charge and matter has becom...