Built-In Predictors for Dynamic Crosstalk Avoidance

Sadeghi, Rezgar; Navabi, Zainalabedin

doi:10.1109/ets48528.2020.9131576

Cited by 2 publications

(1 citation statement)

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“…However, OLCs are faced with two problems: first, modeling of crosstalk delay suffers from the lack of accuracy, especially when the technology size is marching toward the Nano-meter regime [19] [25]. In fact, a recently proposed delay model does not consider the transition overlaps.…”

Section: Introductionmentioning

confidence: 99%

UP-Down OLC: New One-Lambda Crosstalk Avoidance Code Design Based on 5-Wire Model

et al. 2022

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Crosstalk fault avoidance codings (CACs) is extensively utilized. Among promising existing CACs methods, the one which has attracted much attention due to worst-case crosstalk fault delay prevention is One-Lambda Codes (OLCs). Unfortunately, two challenging issues are coming their way: 1-Exact model is required to estimate an exact delay of wires to provide accurate OLCs. 2-OLCs codec suffers from high energy consumption and overhead caused by critical path and area occupation. In this research, an accurate probability model is introduced to overcome these problems by Accurate Crosstalk Model (ACM) prediction. If crosstalk faults show up, ACM can estimate the communication channels delay by using 5wire delay. It can help to improve the recently proposed analytical model that suffers from a lack of accuracy. Next, we present an accurate UP-Down OLC (UD-OLC) based on the numeral system and can eliminate transition patterns, including OLC-induced patterns, completely. In comparison with the other state-of-theart OLCs, the UD-OLC mapping algorithm effectively alleviates wires energy consumption and average latency by up to 61% and 27%. Experimental results also reveal that this an overhead efficient numeralbased method benefits from the overhead degradation in terms of dynamic power, area, and critical path by up to 52%, 45%, and 20%, respectively when we compared it to the others.

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Section: Introductionmentioning

confidence: 99%