A unified model for timing speculation: Evaluating the impact of technology scaling, CMOS design style, and fault recovery mechanism

Author(s):  
Marc de Kruijf ◽  
Shuou Nomura ◽  
Karthikeyan Sankaralingam
2002 ◽  
Vol 716 ◽  
Author(s):  
Nihar R. Mohapatra ◽  
Madhav P. Desai ◽  
Siva G. Narendra ◽  
V. Ramgopal Rao

AbstractThe impact of technology scaling on the MOS transistor performance is studied over a wide range of dielectric permittivities using two-dimensional (2-D) device simulations. It is found that the device short channel performance is degraded with increase in the dielectric permittivity due to an increase in dielectric physical thickness to channel length ratio. For Kgate greater than Ksi, we observe a substantial coupling between source and drain regions through the gate dielectric. We provide extensive 2-D device simulation results to prove this point. Since much of the coupling between source and drain occurs through the gate dielectric, it is observed that the overlap length is an important parameter for optimizing DC performance in the short channel MOS transistors. The effect of stacked gate dielectric and spacer dielectric on the MOS transistor performance is also studied to substantiate the above observations.


2009 ◽  
Vol 48 (1) ◽  
pp. 011208
Author(s):  
Eiji Morifuji ◽  
Hideki Kimijima ◽  
Kenji Kojima ◽  
Masaaki Iwai ◽  
Fumitomo Matsuoka

Author(s):  
Xiao-Dan Li ◽  
Yong-Feng Yin ◽  
Lance Fiondella

High reliability and performance are essential attributes of software systems designed for critical real-time applications. To improve the reliability and performance of software, many systems incorporate some form of fault recovery mechanism. However, contemporary models of software reliability and performance rarely consider these fault recovery mechanisms. Another notable shortcoming of many software models is that they make the simplifying assumption that component failures are statistically independent, which disagrees with several experimental studies that have shown that the failures of software components can exhibit correlation. This paper presents an architecture-based model of software reliability and performance that explicitly considers a two-stage fault recovery mechanism implementing component restarts and application-level retries. The application architecture is characterized by a Discrete Time Markov Chain (DTMC) to represent the dynamic branching behavior of control between the components of the application. Correlations between the component failures are computed with an efficient numerical algorithm for a multivariate Bernoulli (MVB) distribution. We illustrate the utility of the model through a case study of an embedded software application. The results suggest that the model can be used to quantify the impact of software fault recovery and correlated component failures on application reliability and performance.


2015 ◽  
Vol 24 (06) ◽  
pp. 1550077
Author(s):  
Borisav Jovanović ◽  
Milunka Damnjanović ◽  
Predrag Petković ◽  
Vančo Litovski

Microcontrollers represent unavoidable parts of state-of-the-art system-on-chips (SoCs) and they are widely embedded as IP blocks. This paper describes design steps and the application of available low-power techniques, to the design of a microcontroller IP core with 8051 instruction set, based on a prescribed standard cell libraries. Choice of the technology node and the cell library supplier is a design challenge that was considered and conclusions reached. The necessary steps of microcontroller design flow are presented which enable power reduction at several abstraction levels. An optimal microcontroller was designed to be embedded in various SoCs. The goal was to get energy-efficient microcontroller operation in applications which don't require intensive data processing. The impact of technology scaling on microcontroller energy efficiency is considered by comparison of the results obtained from implementations in three standard cell technologies. Moreover, power dissipation models are created which allow for microcontroller's power estimation in low throughput sensors networks applications.


2019 ◽  
Vol 35 (3) ◽  
pp. 303-315
Author(s):  
Mahroo Zandrahimi ◽  
Philippe Debaud ◽  
Armand Castillejo ◽  
Zaid Al-Ars

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