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Proceedings ArticleDOI

Massively parallel device simulation using irregular grids

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TLDR
Partitioning, communication scheduling, and preconditioning algorithms are developed to implement a parallel linear solver for an irregular grid drift-diffusion device simulator and are compared with PILS running on a single processor.
Abstract
Partitioning, communication scheduling, and preconditioning algorithms are developed to implement a parallel linear solver for an irregular grid drift-diffusion device simulator. The parallel program is executed on a 64 node CM-5 and is compared with PILS running on a single processor. We obtain an average CPU time speed-up of 46.1X for each CGS iteration with no preconditioning, and a speed-up of 33.6X for the solution of the matrix. >

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References
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Partitioning of unstructured problems for parallel processing

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Journal ArticleDOI

Three-dimensional numerical semiconductor device simulation: algorithms, architectures, results

TL;DR: The authors present SECOND, a program for large-scale semiconductor device simulation with truly three-dimensional grids, which investigated the most commonly used numerical algorithms for the solution of the classical drift-diffusion equations.
Proceedings ArticleDOI

Connection Machine model CM-5 system overview

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Proceedings ArticleDOI

PILS: an iterative linear solver package for ill-conditioned systems

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Journal ArticleDOI

A STRIDE towards practical 3-D device simulation-numerical and visualization considerations

TL;DR: A 3-D device solver, capable of solving grids up to 250,000 nodes, has been developed on a message passing multiprocessor and by using an independent-edge-grouping scheme to increase the vector length to the order of the number of variables, the vector processing efficiency is significantly increased without additional floating point operations.
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