Time-Efficient Modeling and Simulation of True Workload Dependency for BTI-Induced Degradation in Processor-Level Platform Specifications

As semiconductor technology nodes approach scale to the deep submicron range, bias temperature instability (BTI)-induced degradation threatens the functional and parametric correctness of a digital design. In order to mitigate the negative consequences, a platform-level analysis should be enabled, early in the platform design trajectory. Unfortunately, today’s industrial EDA flows can only achieve this for large netlists by abstracting most of the workload-dependent impact. And, BTI is very workload-dependent in nature due to the partial recovery of the induced degradation during stress. In this chapter, we propose a global analysis flow which captures all of the relevant workload dependency, while still sustaining an acceptable execution time for platform netlists containing millions of devices.

[1]  Liesbet Van der Perre,et al.  Degradation analysis of datapath logic subblocks under NBTI aging in FinFET technology , 2014, Fifteenth International Symposium on Quality Electronic Design.

[2]  Dimitrios Soudris,et al.  Understanding timing impact of BTI/RTN with massively threaded atomistic transient simulations , 2014, 2014 IEEE International Conference on IC Design & Technology.

[3]  G. Groeseneken,et al.  Non-Monte-Carlo methodology for high-sigma simulations of circuits under workload-dependent BTI degradation—Application to 6T SRAM , 2014, 2014 IEEE International Reliability Physics Symposium.

[4]  Jianxin Fang,et al.  Understanding the impact of transistor-level BTI variability , 2012, 2012 IEEE International Reliability Physics Symposium (IRPS).

[5]  T. Grasser,et al.  Defect-based methodology for workload-dependent circuit lifetime projections - Application to SRAM , 2013, 2013 IEEE International Reliability Physics Symposium (IRPS).

[6]  M. Nelhiebel,et al.  The Paradigm Shift in Understanding the Bias Temperature Instability: From Reaction–Diffusion to Switching Oxide Traps , 2011, IEEE Transactions on Electron Devices.

[7]  H. Kufluoglu,et al.  A Generalized Reaction–Diffusion Model With Explicit H– $\hbox{H}_{2}$ Dynamics for Negative-Bias Temperature-Instability (NBTI) Degradation , 2007, IEEE Transactions on Electron Devices.

[8]  Francky Catthoor,et al.  Atomistic Pseudo-Transient BTI Simulation With Inherent Workload Memory , 2014, IEEE Transactions on Device and Materials Reliability.

[9]  G. Groeseneken,et al.  Time and workload dependent device variability in circuit simulations , 2011, 2011 IEEE International Conference on IC Design & Technology.

[10]  R. Degraeve,et al.  Origin of NBTI variability in deeply scaled pFETs , 2010, 2010 IEEE International Reliability Physics Symposium.

[11]  Gerard J. M. Smit,et al.  A mathematical approach towards hardware design , 2010, Dynamically Reconfigurable Architectures.

[12]  T. Grasser The Capture/Emission Time Map Approach to the Bias Temperature Instability , 2014 .

[13]  Said Hamdioui,et al.  Integral Impact of BTI, PVT Variation, and Workload on SRAM Sense Amplifier , 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[14]  Francky Catthoor,et al.  Comparison of Reaction-Diffusion and Atomistic Trap-Based BTI Models for Logic Gates , 2014, IEEE Transactions on Device and Materials Reliability.

[15]  T. Grasser,et al.  The statistical analysis of individual defects constituting NBTI and its implications for modeling DC- and AC-stress , 2010, 2010 IEEE International Reliability Physics Symposium.

[16]  Francky Catthoor,et al.  Efficient Reliability Analysis of Processor Datapath using Atomistic BTI Variability Models , 2015, ACM Great Lakes Symposium on VLSI.

[17]  B. Kaczer,et al.  Analytic modeling of the bias temperature instability using capture/emission time maps , 2011, 2011 International Electron Devices Meeting.

[18]  Ricardo Reis,et al.  Circuit Design for Reliability , 2014 .

[19]  G. Groeseneken,et al.  Atomistic approach to variability of bias-temperature instability in circuit simulations , 2011, 2011 International Reliability Physics Symposium.