NDLI: A new approach for combining yield and performance in behavioural models for analogue integrated circuits

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A new approach for combining yield and performance in behavioural models for analogue integrated circuits

Content Provider	ACM Digital Library
Author	Wilson, Peter Brown, Andrew Ali, Sawal Wilcock, Reuben
Abstract	A new algorithm is presented that combines performance and variation objectives in a behavioural model for a given analogue circuit topology and process. The tradeoffs between performance and yield are analysed using a combination of a multi-objective evolutionary algorithm and Monte Carlo simulation. The results indicate a significant improvement in overall simulation time and efficiency compared to conventional simulation based approaches, without a corresponding drop in accuracy. This approach is particularly useful in the hierarchical design of large and complex circuits where computational overheads are often prohibitive. The behavioural model has been developed in Verilog-A and tested extensively with practical designs using the Spectre™ simulator. A benchmark OTA circuit was used to demonstrate the proposed algorithm and the behaviour has been verified with transistor level simulations of this circuit and a higher level filter design. This has demonstrated that an accurate performance and yield prediction can be achieved using this model, in a fraction of the time of conventional simulation based methods.
Starting Page	152
Ending Page	157
Page Count	6
File Format	PDF
ISBN	9783981080131
DOI	10.1145/1403375.1403414
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-10
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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