Rectangle-packing-based module placement
ICCAD '95 Proceedings of the 1995 IEEE/ACM international conference on Computer-aided design
Module placement on BSG-structure and IC layout applications
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
Module placement for analog layout using the sequence-pair representation
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
FAST-SP: a fast algorithm for block placement based on sequence pair
Proceedings of the 2001 Asia and South Pacific Design Automation Conference
Analog Device-Level Layout Automation
Analog Device-Level Layout Automation
Automation of IC layout with analog constraints
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
VLSI module placement based on rectangle-packing by the sequence-pair
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Constraint-free analog placement with topological symmetry structure
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
Analog placement based on hierarchical module clustering
Proceedings of the 45th annual Design Automation Conference
Regularity-oriented analog placement with diffusion sharing and well island generation
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Practicality on placement given by optimality of packing
Proceedings of the 2013 ACM international symposium on International symposium on physical design
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A challenge to an automated layout of analog IC starts with the insight into a high quality placement crafted by experts. It has been observed that such a placement comprises clusters corresponding to groups of matched devices and devices are placed faithfully to the drawn schema while the placement is still compacted. This paper proposes a novel device-level placement based on Sequence-Pair which includes an effective representation of clusters extracted from the schema. A key idea is to capture a topological structure of clusters in order to place clusters at as faithful positions to those in the schema. We represent this structure in terms of ABLR-relations which can be translated into Sequence-Pair. In experiments, we tested our algorithm for industrial instances and compared the results with those by manual. We showed that our results were better than manual results by, on average, 12.8% and 18.1% with respect to area and net-length.