Model order-reduction of RC(L) interconnect including variational analysis
Proceedings of the 36th annual ACM/IEEE Design Automation Conference
Extended Krylov subspace method for reduced order analysis of linear circuits with multiple sources
Proceedings of the 37th Annual Design Automation Conference
Modeling and analysis of leakage power considering within-die process variations
Proceedings of the 2002 international symposium on Low power electronics and design
Proceedings of the 40th annual Design Automation Conference
Poor Man's TBR: A Simple Model Reduction Scheme
Proceedings of the conference on Design, automation and test in Europe - Volume 2
A stochastic approach To power grid analysis
Proceedings of the 41st annual Design Automation Conference
Statistical Verification of Power Grids Considering Process-Induced Leakage Current Variations
Proceedings of the 2003 IEEE/ACM international conference on Computer-aided design
Stochastic Power Grid Analysis Considering Process Variations
Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
Variational interconnect analysis via PMTBR
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Stochastic variational analysis of large power grids considering intra-die correlations
Proceedings of the 43rd annual Design Automation Conference
Design for Manufacturability and Yield for Nano-Scale CMOS
Design for Manufacturability and Yield for Nano-Scale CMOS
Random sampling of moment graph: a stochastic Krylov-reduction algorithm
Proceedings of the conference on Design, automation and test in Europe
Next-Generation Design and EDA Challenges: Small Physics, Big Systems, and Tall Tool-Chains
ASP-DAC '07 Proceedings of the 2007 Asia and South Pacific Design Automation Conference
Stochastic extended Krylov subspace method for variational analysis of on-chip power grid networks
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Power grid analysis benchmarks
Proceedings of the 2008 Asia and South Pacific Design Automation Conference
ETBR: extended truncated balanced realization method for on-chip power grid network analysis
Proceedings of the conference on Design, automation and test in Europe
PRIMA: passive reduced-order interconnect macromodeling algorithm
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Poor man's TBR: a simple model reduction scheme
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Statistical analysis of large on-chip power grid networks by variational reduction scheme
Integration, the VLSI Journal
Hi-index | 0.00 |
In this paper, we present a novel statistical analysis approach for large power grid network analysis under process variations. The new algorithm is very efficient and scalable for huge networks with a large number of variational variables. This approach, called varETBR for variational extended truncated balanced realization, is based on model order reduction techniques to reduce the circuit matrices before the variational simulation. It performs the parameterized reduction on the original system using variation-bearing subspaces. varETBR calculates variational response Gramians by Monte-Carlo based numerical integration considering both system and input source variations for generating the projection subspace. varETBR is very scalable for the number of variables and is flexible for different variational distributions and ranges as demonstrated in experimental results. After the reduction, Monte-Carlo based statistical simulation is performed on the reduced system and the statistical responses of the original system are obtained thereafter. Experimental results, on a number of IBM benchmark circuits [15] up to 1.6 million nodes, show that the varETBR can be 4500X faster than the Monte-Carlo method and is much more scalable than one of the recently proposed approaches.