Simultaneous switching noise and IR drop in graphene nanoribbon power distribution networks

2012 ◽  
Author(s):  
Debaprasad Das ◽  
Hafizur Rahaman
Keyword(s):  
Power Distribution ◽  
Distribution Networks ◽  
Graphene Nanoribbon ◽  
Switching Noise ◽  
Power Distribution Networks ◽  
Ir Drop ◽  
Simultaneous Switching Noise ◽  
Simultaneous Switching

Analysis of Simultaneous Switching Noise and IR-Drop in Side-Contact Multilayer Graphene Nanoribbon Power Distribution Network

2017 ◽  
Vol 27 (01) ◽  
pp. 1850001 ◽  
Author(s):  
Sandip Bhattacharya ◽  
Debaprasad Das ◽  
Hafizur Rahaman
Keyword(s):  
Integrated Circuit ◽  
Power Distribution ◽  
Graphene Nanoribbon ◽  
Multilayer Graphene ◽  
Switching Noise ◽  
Temperature Dependent ◽  
Average Percentage ◽  
Ir Drop ◽  
Simultaneous Switching Noise ◽  
Simultaneous Switching

The work in this paper presents the analyses of temperature-dependent simultaneous switching noise (SSN) and IR-Drop in multilayer graphene nanoribbon (MLGNR) power interconnects for 16[Formula: see text]nm ITRS technology node. A [Formula: see text] standard cell-based integrated circuit is designed to analyze the SSN and IR-Drop using the proposed temperature-dependent model of MLGNR and Cu interconnect for 10[Formula: see text][Formula: see text]m interconnect length at temperatures (233[Formula: see text]K, 300[Formula: see text]K and 378[Formula: see text]K). Our analysis shows that MLGNR exhibits ([Formula: see text]–[Formula: see text]) less SSN and ([Formula: see text]–[Formula: see text]) less IR-Drop as compared with traditional Cu-based power interconnects. Our analysis also shows that the average percentage of reduction in peak SSN is 52–32% (at 233[Formula: see text]K), 53–32% (at 300[Formula: see text]K) and 52–30% (at 378[Formula: see text]K) less in MLGNR compared with traditional Cu-based power interconnect and the average percentage of reduction in peak IR-Drop in MLGNR is 54–31% (at 233[Formula: see text]K), 57–29% (at 300[Formula: see text]K) and 57–26% (at 378[Formula: see text]K) less than that of Cu-based power interconnects.

Minimizing area of VLSI power distribution networks using river formation dynamics

2018 ◽  
Vol 20 (4) ◽  
pp. 417-429 ◽  
Author(s):  
Satyabrata Dash ◽  
Sukanta Dey ◽  
Deepak Joshi ◽  
Gaurav Trivedi
Keyword(s):  
Power Distribution ◽  
Large Scale ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Networks ◽  
Power Distribution Network ◽  
Content Type ◽  
Ir Drop ◽  
Formation Dynamics ◽  
River Formation Dynamics

Purpose The purpose of this paper is to demonstrate the application of river formation dynamics to size the widths of power distribution network for very large-scale integration designs so that the wire area required by power rails is minimized. The area minimization problem is transformed into a single objective optimization problem subject to various design constraints, such as IR drop and electromigration constraints. Design/methodology/approach The minimization process is carried out using river formation dynamics heuristic. The random probabilistic search strategy of river formation dynamics heuristic is used to advance through stringent design requirements to minimize the wire area of an over-designed power distribution network. Findings A number of experiments are performed on several power distribution benchmarks to demonstrate the effectiveness of river formation dynamics heuristic. It is observed that the river formation dynamics heuristic outperforms other standard optimization techniques in most cases, and a power distribution network having 16 million nodes is successfully designed for optimal wire area using river formation dynamics. Originality/value Although many research works are presented in the literature to minimize wire area of power distribution network, these research works convey little idea on optimizing very large-scale power distribution networks (i.e. networks having more than four million nodes) using an automated environment. The originality in this research is the illustration of an automated environment equipped with an efficient optimization technique based on random probabilistic movement of water drops in solving very large-scale power distribution networks without sacrificing accuracy and additional computational cost. Based on the computation of river formation dynamics, the knowledge of minimum area bounded by optimum IR drop value can be of significant advantage in reduction of routable space and in system performance improvement.

scholarly journals Investigation and Analysis of the Simultaneous Switching Noise in Power Distribution Network with Multi-Power Supplies of High Speed CMOS Circuits

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Khaoula Ait Belaid ◽  
Hassan Belahrach ◽  
Hassan Ayad
Keyword(s):  
Power Distribution ◽  
High Speed ◽  
Electromagnetic Coupling ◽  
Distribution Network ◽  
Switching Noise ◽  
Power Distribution Network ◽  
Vector Fitting ◽  
Rational Function Approximation ◽  
Simultaneous Switching Noise ◽  
Simultaneous Switching

The paper studies a simultaneous switching noise (SSN) in a power distribution network (PDN) with dual supply voltages and two cores. This is achieved by reducing the admittance matrix Y of the PDN then calculating frequency domain impedance with rational function approximation using vector fitting. This paper presents a method of computing the simultaneous switching noise through a switching current, whose properties and details are described. Thus, the results are discussed and performed using MATLAB and PSpice tools. It demonstrated that the presence of many cores in the same PCB influences the SSN due to electromagnetic coupling.

Investigating the Applicability of Graphene Nanoribbon as Signal and Power Interconnects for Nanometer Designs

2015 ◽  
Vol 25 (02) ◽  
pp. 1650001 ◽  
Author(s):  
Debaprasad Das ◽  
Hafizur Rahaman
Keyword(s):  
Supply Voltage ◽  
Voltage Drop ◽  
Graphene Nanoribbon ◽  
Switching Noise ◽  
Crosstalk Noise ◽  
Power Supply Voltage ◽  
Graphene Layers ◽  
Ir Drop ◽  
Simultaneous Switching ◽  
Better Than

In this work, we have investigated the applicability of graphene nanoribbon (GNR) as the interconnects for 16-nm ITRS technology node. GNR is proposed as the possible alternative to the traditional copper (Cu)-based interconnect systems in nanometer regime. In this paper, we have performed important studies on GNR for its applicability as power and signal interconnects. For the application of power interconnects, we have investigated the power supply voltage drop (IR drop) and simultaneous switching noise (SSN) in graphene-based interconnect system. We have performed crosstalk noise and overshoot/undershoot analyses for the application of signal interconnects. The results are compared with that of the traditional Cu-based interconnects. The results show that GNR is better than Cu as far as IR drop, SSN, gate oxide reliability and hot carrier reliability are concerned. Our investigation reveals that GNR can be better than the Cu interconnects from all aspects with a multilayer GNR structure. The present graphene-based interconnect technology needs to be advanced, so that the metal–graphene contact resistance is minimized and multilayer GNR structure with large number of graphene layers is supported.

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