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A heuristic algorithm for the fanout problem
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A simple algorithm for fanout optimization using high-performance buffer libraries
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ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
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ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
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Simultaneous gate sizing and fanout optimization
Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
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Proceedings of the 2000 IEEE/ACM international conference on Computer-aided design
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Proceedings of the 40th annual Design Automation Conference
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ASP-DAC '02 Proceedings of the 2002 Asia and South Pacific Design Automation Conference
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Proceedings of the 2004 international symposium on Physical design
Sensitivity guided net weighting for placement driven synthesis
Proceedings of the 2004 international symposium on Physical design
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Proceedings of the 2005 international symposium on Physical design
Low-power fanout optimization using multiple threshold voltage inverters
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Low-power fanout optimization using MTCMOS and multi-Vt techniques
Proceedings of the 2006 international symposium on Low power electronics and design
Low-power fanout optimization using multi threshold voltages and multi channel lengths
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IBM eServer z900 high-frequency microprocessor technology, circuits, and design methodology
IBM Journal of Research and Development
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This paper presents a gain-based fanout optimization algorithm for near-continuous buffer libraries. A near-continuous buffer library contains many buffers in a wide range of discrete sizes and each buffer of a specific type satisfies a size-independent delay equation. The new fanout algorithm is derived from an optimal algorithm to a special fanout optimization problem for continuous libraries. The gain-based technique constructs fanout trees which have better timing at similar area cost. Since no combinatorial search over buffer sizes or fanout tree topologies is used, our execution time is up to 1000 times faster when compared to conventional fanout algorithms.