What is it about?
This work rigorously develops dynamic stability concepts and captures them in physically based analytical models. Furthermore, important SRAM stability metric can be explored in a mathematical view. Based on the newly discovered Region-Analysis, SRAM stability can be explained using bifurcation theory, and design equation on dynamic noise margin can be derived.
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Why is it important?
The SRAM suffers read/write failure due to lack of good optimizing metric. This work reveals a new noise margin metric by characterizing the minimum required amplitude and duration of injected current noises that can flip the SRAM state. The derived models in this work, which are parameterized in key design, technology, and operating condition parameters, provide important design insights and offer a basis for predicting scaling trends of SRAM dynamic stability.
Perspectives
- This work aims to provide insights on SRAM devices in design perspective. - Easy to read for people who don’t have SRAM device background. - Step by step translation of theory into practice.
Yenpo Ho
IEEE
Read the Original
This page is a summary of: Understanding SRAM Stability via Bifurcation Analysis, ACM Transactions on Design Automation of Electronic Systems, August 2014, ACM (Association for Computing Machinery),
DOI: 10.1145/2647957.
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