Parallelization of the Reduced-Coupling Technique for a Method-of-Moments-Based Field Solver Used for Product-Level Wide Data-Bus Analysis

Abstract

A parallel LU decomposition algorithm is presented to take advantage of the sparse impedance matrix produced by the reduced-coupling method. This algorithm allows rapid simulation of very large chip and packaging problems. A representative example is shown for a wide, on-chip data-bus that required one million surface unknowns and the computational power of a 1024-node IBM BlueGene cluster with distributed memory.