Design flow management in the NELSIS CAD framework
DAC '91 Proceedings of the 28th ACM/IEEE Design Automation Conference
Sensitivity analysis of iterative design processes
Proceedings of the 1996 IEEE/ACM international conference on Computer-aided design
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Analysis and refinement of iterative design processes
Analysis and refinement of iterative design processes
Measurement and analysis of sequential design processes
ACM Transactions on Design Automation of Electronic Systems (TODAES)
The ISPD98 circuit benchmark suite
ISPD '98 Proceedings of the 1998 international symposium on Physical design
Multilevel k-way hypergraph partitioning
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
METRICS: a system architecture for design process optimization
Proceedings of the 37th Annual Design Automation Conference
Improved algorithms for hypergraph bipartitioning
ASP-DAC '00 Proceedings of the 2000 Asia and South Pacific Design Automation Conference
Advancing Customer-Perceived Quality in the EDA Industry
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
Measuring Design Quality by Measuring Design Complexity
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
Quality of EDA CAD Tools: Definitions, Metrics and Directions
ISQED '00 Proceedings of the 1st International Symposium on Quality of Electronic Design
A Course on the Design of Reliable Digital Systems
IEEE Transactions on Education
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We present recent extensions to METRICS [10] infrastructure that allow optimization of design processes at the flow level, rather than only at the individual tool level. As previously reported, METRICS infrastructure allows automatic recording of design and process information. Our extensions include (i) the collection of design flow information for use in flow optimization, and (ii) integration with datamining tools to allow automatic generation of design and flow QOR predictors. Our flow optimization experiments try to optimize incremental multilevel FM partitioner runs in an incremental (ECO-oriented) design flow. We also demonstrate QOR predictors that are generated automatically from the METRICS data warehouse by the Cubist datamining tool for industry placement, clock tree generation, and routing tools.