Variation-aware performance verification using at-speed structural test and statistical timing

  • Authors:
  • Vikram Iyengar;Jinjun Xiong;Subbayyan Venkatesan;Vladimir Zolotov;David Lackey;Peter Habitz;Chandu Visweswariah

  • Affiliations:
  • IBM Microelectronics, Essex Junction, VT;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Microelectronics, San Jose, CA;IBM Thomas J. Watson Research Center, Yorktown Heights, NY;IBM Microelectronics, Essex Junction, VT;IBM Microelectronics, Essex Junction, VT;IBM Thomas J. Watson Research Center, Yorktown Heights, NY

  • Venue:
  • Proceedings of the 2007 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 2007

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Abstract

Meeting the tight performance specifications mandated by the customer is critical for contract manufactured ASICs. To address this, at speed test has been employed to detect subtle delay failures in manufacturing. However, the increasing process spread in advanced nanometer ASICs poses considerable challenges to predicting hardware performance from timing models. Performance verification in the presence of process variation is difficult because the critical path is no longer unique. Different paths become frequency limiting in different process corners. In this paper, we present a novel variation-aware method based on statistical timing to select critical paths for structural test. Node criticalities are computed to determine the probabilities of different circuit nodes being on the critical path across process variation. Moreover, path delays are projected into different process corners using their linear delay function forms. Experimental results for three multimillion gate ASICs demonstrate the effectiveness of our methods.