Presentation 2008-03-07
A Low-cost Speed and Yield Enhancement Method using Enbedded Delay-Detectors on FPGAs
Yohei KUME, Yuuri SUGIHARA, Ngo CAM LAI, Kazutoshi KOBAYASHI, Hidetoshi ONODERA,
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Abstract(in English) This paper shows the principle and architecture of a low-cost speed and yield enhancement method using enbedded delay detectors on FPGAs. we apply critical path reconfiguration to utilize random variations for performance enhancement. We have to know which path is faster on the critical path reconfiguration, but the cost of measurement by path-delay measurement method is very large. In order to search for faster paths with much lower cost, we propose measurement method using delay detectors. Computing measurement cost by delay detectors can be treated as an edge-coloring probelem. The cost is equal edge-color number κ. The order of κ is derived from the upper and lower bound of the measurment cost. k is independent of the circuit size and turned out to be constant. The computation time for this algorithm is O (n) where n is the number of CLBs in the critical path candidates. By implementing and applying this algorithm to a set of benchmark circuits we verified that the measurment cost is close to the lower bound.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) FPGA / Variation-aware / Yield Enhancement
Paper # VLD2007-163,ICD2007-186
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Conference Information
Committee VLD
Conference Date 2008/2/29(1days)
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Paper Information
Registration To VLSI Design Technologies (VLD)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Low-cost Speed and Yield Enhancement Method using Enbedded Delay-Detectors on FPGAs
Sub Title (in English)
Keyword(1) FPGA
Keyword(2) Variation-aware
Keyword(3) Yield Enhancement
1st Author's Name Yohei KUME
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Yuuri SUGIHARA
2nd Author's Affiliation Graduate School of Informatics, Kyoto University
3rd Author's Name Ngo CAM LAI
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
4th Author's Name Kazutoshi KOBAYASHI
4th Author's Affiliation Graduate School of Informatics, Kyoto University
5th Author's Name Hidetoshi ONODERA
5th Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2008-03-07
Paper # VLD2007-163,ICD2007-186
Volume (vol) vol.107
Number (no) 508
Page pp.pp.-
#Pages 6
Date of Issue