BEE: Predicting realistic worst case and stochastic eye diagrams by accounting for correlated bitstreams and coding strategies

Abstract—Modern high-speed links and I/O subsystems often employ sophisticated coding strategies to boost error resilience and achieve multiGb/s throughput. The end-to-end analysis of such systems, which involves accurate prediction of worst-case and stochastic eye diagrams, is a challenging problem. Existing techniques such as Peak Distortion Analysis (PDA) typically predict overly pessimistic eye diagrams because they do not take into account the coding strategies employed. Monte-Carlo methods, on the other hand, often predict overly optimistic eye diagrams, and they are also very timeconsuming. As an alternative, we present BEE, an accurate and efficient computational technique that applies dynamic programming algorithms to predict realistic worst-case and stochastic eye diagrams in modern highspeed links and I/O subsystems – with neither excessive pessimism nor undue optimism. BEE is able to fully and correctly take into account many features underlying modern communications s...

• Type: Journal
• Year: 2015
• Where: ASPDAC
• Authors: Aadithya V. Karthik, Sayak Ray, Jaijeet Roychowdhury
• Keywords: ASPDAC 2015, Hardware