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

• Published in: IEEE access Vol. 10; pp. 129642 - 129652
• Main Authors: Shirmohammadi, Zahra, Taali, Masoumeh, Khan, Baseem, Khosravy, Mahdi
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; analytical model; Avoidance; Codec; codec overhead; Codes; Communication delay; Critical path; Crosstalk; crosstalk fault; Delay; Delays; Encoding; Energy consumption; Mathematical models; one-lambda code; Predictive models; reliability; Wire; Wires
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3225674

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 5-wire 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-the-art 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 numeral-based 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.