Listar por tema "Sparsity ratios"
Mostrando ítems 1-4 de 4
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Efficient sparsification of dense circuit matrices in model order reduction
(2019)The integration of more components into ICs due to the ever increasing technology scaling has led to very large parasitic networks consisting of million of nodes, which have to be simulated in many times or frequencies to ... -
Graph-Based Sparsification and Synthesis of Dense Matrices in the Reduction of RLC Circuits
(2021)The integration of more components into modern integrated circuits (ICs) has led to very large RLC parasitic networks consisting of millions of nodes that have to be simulated in many times or frequencies to verify the ... -
A rigorous approach for the sparsification of dense matrices in model order reduction of RLC circuits
(2019)The integration of more components into modern Systems-on-Chip (SoCs) has led to very large RLC parasitic networks consisting of million of nodes, which have to be simulated in many times or frequencies to verify the proper ... -
Selective inversion of inductance matrix for large-scale sparse RLC simulation
(2014)The inverse of the inductance matrix (reluctance matrix) is amenable to sparsification to a much greater extent than the inductance matrix itself. However, the inversion and subsequent truncation of a large dense inductance ...