Presentation 2007-11-22
A Study of Grid-Based Modeling of Spatially Correlated Manufacturing Variability for SSTA
Shinyu NINOMIYA, Masanori HASHIMOTO,
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Abstract(in English) A variability model considering spatial correlations is necessary for statistical static timing analysis which treats manufacturing variability. A trade-off exists between accuracy and computational resources in terms of grid size while accounting for a grid-based spatial variability model. In this paper, we evaluate the effect of grid size on accuracy of timing analysis, and propose a method that improves modeling accuracy of spatial correlation by introducing spatial interpolation of coefficient in grid model. We experimentally show that the accuracy of SSTA improves with the proposed coefficient interpolation.
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Keyword(in English) Statistical static timing analysis / manufacturing variability / spatial correlation
Paper # VLD2007-91,DC2007-46
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Committee DC
Conference Date 2007/11/15(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study of Grid-Based Modeling of Spatially Correlated Manufacturing Variability for SSTA
Sub Title (in English)
Keyword(1) Statistical static timing analysis
Keyword(2) manufacturing variability
Keyword(3) spatial correlation
1st Author's Name Shinyu NINOMIYA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Masanori HASHIMOTO
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2007-11-22
Paper # VLD2007-91,DC2007-46
Volume (vol) vol.107
Number (no) 339
Page pp.pp.-
#Pages 5
Date of Issue