Parallel genetic algorithm for intelligent model parameter extraction of metal-oxide-semiconductor field effect transistors

Yiming Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Equivalent circuit model of semiconductor devices associated with a set of optimized parameters currently plays a central role in the circuit design and semiconductor manufacturing communities. An intelligent model parameter extraction system that simultaneously integrates evolutionary and numerical optimization techniques for optimal characterization of sub-100nm metal-oxide-semiconductor field effect transistors (MOSFETs) has recently been advanced [1]. In this article, to accelerate the extraction process, parallelization of the genetic algorithm (GA) for the intelligent model parameter extraction system of MOSFETs is developed. The GA implemented in the extraction system is mainly parallelized with a diffusion scheme on a PC-based Linux cluster with message passing interface libraries. Parallelization of GA is governed by various factors, which affect the quality of extracted parameters and its computational efficiency. The result obtained in this study shows that the diffusion GA is superior to an isolated GA, and the superiority of the diffusion GA becomes significant when the number of MOSFETs to be optimized is increased. Theoretical estimation and preliminary numerical implementation of parallel GA show that there exist an optimal number of processors with respect to the number of devices to be extracted. Benchmark results, such as speedup and efficiency including accuracy of extraction are presented and discussed for different sets of realistic multiple sub-100nm devices to show the robustness and efficiency of the method. Practical implementation of the parallel GA approach benefits the engineering of device model parameter extraction in nowadays semiconductor manufacturing industry.

Original languageEnglish
Pages (from-to)243-249
Number of pages7
JournalMaterials and Manufacturing Processes
Volume24
Issue number3
DOIs
StatePublished - Mar 2009

Keywords

  • Device model
  • Diffusion scheme
  • Efficiency
  • Equivalent circuit
  • Genetic algorithm
  • Metal-oxide-semiconductor field effect transistors (MOSFETs)
  • Parallelization
  • Parameter extraction
  • Speedup
  • Sub-100nm

Fingerprint Dive into the research topics of 'Parallel genetic algorithm for intelligent model parameter extraction of metal-oxide-semiconductor field effect transistors'. Together they form a unique fingerprint.

Cite this