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Computer simulation is a vital tool to today's advanced semiconductor device design and manufacturing. Unfortunately, precision requirements makes the shortest meaningful simulation run at least for hours on top of the line desktop workstations. To overcome this performance issue, we resort to parallel computers. In this paper, we describe the parallel linear solver based on LU decomposition that we introduce to solve the linear systems arising from the discretization of partial differential equations involved in semiconductor device simulation. This solver is now part of a software package called ATLAS that is widely distributed. Experiments are performed on the latest shared memory and distributed shared memory parallel computers, namely Sun Enterprise servers, Silicon Graphics Origin2000 and HP/Convex S-Class Exemplar.

A parallel sparse LU decomposition with application to semiconductor device simulation