Large power grid analysis using domain decomposition
Proceedings of the conference on Design, automation and test in Europe: Proceedings
Proceedings of the 43rd annual Design Automation Conference
Parallel domain decomposition for simulation of large-scale power grids
Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
Allocating power ground vias in 3D ICs for simultaneous power and thermal integrity
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Efficient power network analysis considering multidomain clock gating
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
On-chip power network optimization with decoupling capacitors and controlled-ESRs
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
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This paper presents an efficient method for optimizing power/ground (P/G) networks by widening wires and adding decoupling capacitors (decaps). It proposes a structured skeleton that is intermediate to the conventional method that uses full meshes, which are hard to analyze efficiently, and tree-structured networks, which provide poor performance. As an example, we consider a P/G network structure modeled as an overlying mesh with underlying trees originating from the mesh, which eases the task of analysis with acceptable performance sacrifices. A fast and efficient event-driven P/G network simulator is proposed, which hierarchically simulates the P/G network with an adaptation of PRIMA to handle nonzero initial conditions. An adjoint network that incorporates the variable topology of the original P/G network, as elements switch in and out of the network, is constructed to calculate the transient adjoint sensitivity over multiple intervals. The gradients of the most critical node with respect to each wire width and decap are used by a sensitivity-based heuristic optimizer that minimizes a weighted sum of the wire and the decap area. Experimental results show that this procedure can be used to efficiently optimize large networks.