NBTI-Aware Power Gating Design with Dynamically Varying Stress Probability Control on Sleep Transistor

Author(s):  
Abhishek Bhattacharjee ◽  
Sambhu Nath Pradhan

With the aggressive scaling of the transistor, Negative Bias Temperature Instability (NBTI) has become the most dominant aging effect which causes the device parameter to degrade over its lifetime. This device parameter degradation of logic gates in nanometer technology is a major concern for the reliability of the digital circuit. It becomes even more critical when it comes to power gating structure, as small NBTI effect on PMOS sleep transistor used in header-based power gating structure would seriously affect the reliability, performance of the whole logic circuit. The conventional method of mitigating the NBTI effect is to oversize the sleep transistor, but it also gives rise to leakage overhead. In this work, a novel NBTI aware power gating architecture is presented to improve the lifetime of the circuit. Here, sleep transistors (STs) are switched ON/OFF periodically and a greater number of STs are turned ON, when NBTI related degradation reaches to its threshold value so that STs get more time to anneal NBTI degradation and improve its lifetime. Simulation result on ISCAS’85 benchmark circuits shows for 40% sleep signal, an average of 51.2% and 14% lifetime improvement with respect to the conventional over-sizing (OS) technique and normal stress probability control method, respectively with some power and area overhead.

2011 ◽  
Vol 9 ◽  
pp. 255-261 ◽  
Author(s):  
E. Glocker ◽  
D. Schmitt-Landsiedel ◽  
S. Drapatz

Abstract. In current process technologies, NBTI (negative bias temperature instability) has the most severe aging effect on static random access memory (SRAM) cells. This degradation effect causes loss of stability. In this paper countermeasures against this hazard are presented and quantified via simulations in 90 nm process technologies by the established metrics SNMread, SNMhold, Iread and Write Level. With regard to simulation results and practicability best candidates are chosen and, dependent on individual preferences at memory cell design, the best countermeasure in each case is recommended.


2021 ◽  
Vol 13 ◽  
Author(s):  
Kajal ◽  
Vijay Kumar Sharma

Background: Scaling of the dimensions of semiconductor device plays a very important role in the advancement of very large-scale integration (VLSI) technology. There are many advantages of scaling in VLSI technology such as increment in the speed of the device and less area requirement of the device. Aggressive device scaling causes some limitations in the form of short channel effects which produce large leakage current. Large leakage current harms the characteristics of the device and affects the reliability of the device. Objective: The most important and popular reliability issue in deep submicron (DSM) regime is negative-bias temperature instability (NBTI). NBTI effect increases the threshold voltage of p-channel metal oxide semiconductor (PMOS) device over the time and affects the different characteristics of the device. As a result, circuit delay exceeds the design specification and there may be timing violations or logic failure. Different performance parameters are observed under NBTI effect for different logic gates. Methods: This paper presents an impact of NBTI at 22nm Berkeley short-channel IGFET model4 (BSIM4) predictive technology model (PTM) for complementary metal oxide semiconductor (CMOS) logic gates. Reliability simulations are utilised to evaluate the amount of gradual damage in PMOS device due to NBTI effect. Results : The impact of NBTI degradation is checked for various CMOS logic gates using Mentor Graphics’s Eldo circuit simulator. Output voltage and drain current are reducing over the time under NBTI effect. Conclusion: NBTI degradation increases the threshold voltage of PMOS device over the time and affects the different characteristics of the device.


2005 ◽  
Vol 45 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Vijay Reddy ◽  
Anand T. Krishnan ◽  
Andrew Marshall ◽  
John Rodriguez ◽  
Sreedhar Natarajan ◽  
...  

2019 ◽  
Vol 28 (09) ◽  
pp. 1950146 ◽  
Author(s):  
Jinbin Tu ◽  
Tianhao Yang ◽  
Lu Yin ◽  
Shuangyu Xie ◽  
Ruitao Xu ◽  
...  

The aging effect induced by negative bias temperature instability (NBTI) is a universal issue existing in electronic equipments. NBTI aging effect can increase the path delay of network-on-chip (NoC) device, resulting in the decreased frequency of processor core and in turn its performance degradation. Under this circumstance, aging-aware task scheduling becomes a complex and challenging problem in advanced multicore systems. This paper presents an aging-aware scheduling method that incorporates NBTI aging effect into the task scheduling framework for mesh-based NoCs. The proposed method relies on a NBTI aging model to evaluate the degradation of core’s operating frequency to establish the task scheduling model under aging effect. Taking into account core performance degradation and the communication overheads among cores, we develop a meta-heuristic scheduling strategy based on particle swarm optimization algorithm to minimize the total execution time of all tasks. Experimental results show that the schedule obtained by the aging-aware algorithm has shorter completion time and higher throughput compared with the nonaging-aware case. On average, the makespan can be reduced by 13.55% and the throughput can be increased by 21.73% for a variety of benchmark applications.


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