The Best of ICCAD 2003
DOI: 10.1007/978-1-4615-0292-0_34
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PRIMA: Passive Reduced-Order Interconnect Macromodeling Algorithm

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Cited by 64 publications
(126 citation statements)
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“…The resulting macromodels lack provable error bounds and any guarantee of preserving stability or passivity of the original model. Nonetheless, moment matching algorithms like Padé via Lanczos (PVL [5]), Passive Reduced-order Interconnect Macromodeling Algorithm (PRIMA [17]), and Structure-Preserving Reduced-Order Interconnect Macromodeling (SPRIM [6]) are popular in the electrical engineering community. Truncated Balanced Realization (TBR) methods generate macromodels that have provable error bounds and guaranteed preservation of stability when the dynamical system is linear time-invariant.…”
Section: Model Order Reductionmentioning
confidence: 99%
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“…The resulting macromodels lack provable error bounds and any guarantee of preserving stability or passivity of the original model. Nonetheless, moment matching algorithms like Padé via Lanczos (PVL [5]), Passive Reduced-order Interconnect Macromodeling Algorithm (PRIMA [17]), and Structure-Preserving Reduced-Order Interconnect Macromodeling (SPRIM [6]) are popular in the electrical engineering community. Truncated Balanced Realization (TBR) methods generate macromodels that have provable error bounds and guaranteed preservation of stability when the dynamical system is linear time-invariant.…”
Section: Model Order Reductionmentioning
confidence: 99%
“…The Passive Reduced-Order Interconnect Macromodeling Algorithm (PRIMA) is proposed by Odabasioglu et al [17] in 1998. The algorithm utilizes the block Arnoldi procedure.…”
Section: Primamentioning
confidence: 99%
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“…One shortcoming of this model is that it does not include the inductive effects and is a first order moment approximation. Higher order propagation delays can be obtained through moment matching methods such as AWE [3], PRIMA [4], Multi-node Moment Matching [5]. But they are efficient only for handling the tree and tree-like topologies.…”
Section: Introductionmentioning
confidence: 99%
“…We target at very large clock networks from real designs and use a divide-and-conquer scheme to perform the complexity reduction. The resulting algorithm can give faster yet more accurate results for hybrid structured clock network than existing methods [1], [4], [6]. We demonstrated the performance through a comparison with the widely used simulator HSPICE.…”
Section: Introductionmentioning
confidence: 99%