Runtime NBTI Mitigation for Processor Lifespan Extension via Selective Node Control

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@InProceedings{Bian:2016:ATS,

• author = "Song Bian and Michihiro Shintani and Zheng Wang and Masayuki Hiromoto and Anupam Chattopadhyay and Takashi Sato",
• booktitle = "2016 IEEE 25th Asian Test Symposium (ATS)",
• title = "Runtime NBTI Mitigation for Processor Lifespan Extension via Selective Node Control",
• year = "2016",
• pages = "234--239",
• abstract = "Negative bias temperature instability (NBTI) has become one of the major reliability concerns for nanoscale CMOS technology. The NBTI effect degrades pMOS transistors by stressing them with negatively biased voltage, while the transistors heal themselves as the negative bias is removed. In this paper, we propose a cross-layer mitigation technique for NBTI-induced timing degradation in processors. The NOP (No Operation) instruction is replaced by a custom NOP instruction for healing purpose. Cells that are likely to be stressed under negative bias are classified and their upstream cell will be replaced by the internal node control (INC) logics. Upon encountering a custom NOP instruction, the INC logics will force the NBTI-stressed cell to be in its healing mode. The optimal INC logic insertion through genetic programming approach achieves much greater delay mitigation of 44.3percent than prior works in a 10-year span with less than 4percent of power and negligible area overhead.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/ATS.2016.31",
• month = nov,
• notes = "Also known as \cite{7796119}",

}

Genetic Programming entries for Song Bian Michihiro Shintani Zheng Wang Masayuki Hiromoto Anupam Chattopadhyay Takashi Sato

Citations