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Proceedings Paper

Predicting computer resource usage
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Paper Abstract

GDSII file size is not very well correlated with the computer runtime and memory required to perform RET processing. Occasionally, small files can take many hours to process, while large files can run very quickly. The ability to accurately predict resource requirements for RET processing is essential to optimizing RET automation. In this paper, we examine GDSII complexity metrics in an effort to find a method for predicting RET processing resource requirements.

Paper Details

Date Published: 6 December 2004
PDF: 10 pages
Proc. SPIE 5567, 24th Annual BACUS Symposium on Photomask Technology, (6 December 2004); doi: 10.1117/12.568682
Show Author Affiliations
Alfred J. Reich, Freescale Semiconductor, Inc. (United States)
Chi-Min Yuan, Freescale Semiconductor, Inc. (United States)
Robert E. Boone, Freescale Semiconductor, Inc. (France)


Published in SPIE Proceedings Vol. 5567:
24th Annual BACUS Symposium on Photomask Technology
Wolfgang Staud; J. Tracy Weed, Editor(s)

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