An Automated Validation Framework for Power Management and Data Retention Logic Kits of Standard Cell Library
Akshay Karkal Kamath, Bharath Kumar, Sunil Aggarwal, Subramanian, Parameswaran, Parag Lonkar, Debi Prasanna, Somasunder Sreenath

TL;DR
This paper introduces an automated validation framework for power management and data retention cells in standard cell libraries, improving reliability and reducing manual effort during library development.
Contribution
The paper presents a fully automated validation framework specifically targeting power management and data retention cells in standard cell libraries, integrated into the Samsung Foundry ecosystem.
Findings
Framework runs out-of-the-box for quick adoption.
Implemented successfully within Samsung's ecosystem.
Enhances quality and reliability of library design kits.
Abstract
The development of a standard cell library involves characterization of a number of gate-level circuits at various cell-level abstractions. Verifying the behavior of these cells largely depends on the manual skills of the circuit designers. Especially challenging are the power management and data retention cells which must be checked thoroughly for voltage and power configurations in addition to their logic functionality. Also, when standard cells are extracted into various models, any inconsistencies in these models typically goes unchecked during library development. Thus, validating these cells exhaustively prior to customer delivery is highly advantageous to not only improve customer satisfaction but also to reduce design costs. We address this challenge by presenting a methodology to validate the power management and data retention cells that are used in the logical design flow of…
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Taxonomy
TopicsEnergy and Environmental Systems · Technology and Data Analysis · Internet of Things and Social Network Interactions
