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Enhancement of System-Lifetime by Alternating Module Activation

Enhancement of System-Lifetime by Alternating Module Activation. Frank Sill Torres Department of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil. Focus / Main ideas Approach aiming at extension of expected lifetime

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Enhancement of System-Lifetime by Alternating Module Activation

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  1. Enhancement of System-Lifetime by Alternating Module Activation Frank Sill Torres Department of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil

  2. Focus / Main ideas • Approach aiming at extension of expected lifetime • Enabling of detection of faulty design blocks

  3. Outline • Motivation • Alternating Module Activation • ExtendedAlternating Module Activation • Results • Conclusion

  4. Motivation Technology Development Gulftown 1.170 Mil. Probability for failures increases due to: • Increasing transistor count • Shrinking technology Wolfdale 410 Mil. Tecnology Yonah 151 Mil. Prescott 125 Mil. Northwood 55 Mil. Wolfdale 410 Mil.

  5. Motivation Time Dependent Failure Mechanisms • Electromigration (EM) • Performance reduction and errors • Depending on currentsand temperature • Negative Bias Temperature Instability (NBTI) • Performance reduction • Depending on voltage level and temperature • Time Dependent Dielectric Breakdown (TDDB) • Performance reduction and errors • Depending on voltage level and temperature Increase of lifetime through reduction of supply voltage and activity

  6. Alternating Module Activation Concept and Realization • Basic idea: Reduction of degradation via module deactivation • Problem: What to do at run-time? Module Module 1 Instance 1 Module tlife-system = tlife-module ≈ tlife-old +toff ≈ 2*tlife-old + tsleep Module 2 SLEEP MUX Module 1 Instance 2 tlife-new ≈ tlife-old + toff

  7. Alternating Module Activation Previous Results (Cornelius, Sill Torres;JOLPE;2011) • Test Environment • BPTM 22nm, Monte-Carlo simulations • Modeling of TDDB and EM (w/o consideration of temperature) • Estimation of expected life time via Mean Time To Failure (MTTF) • Results • Lifetime increase by factor 2.2 (aver.) • Delay increase by 7 %(aver.) • Power increase (dynamic and leakage) by 5 %(aver.) • Area increase by 110 %(aver.)

  8. Extended Alternating Module Activation Discussion • Considerably extension of expected lifetime • Moderate increase of delay and power Advantages • Utilization of overlapping activity phases • Additional comparators and BIST mode • Identification and deactivation of faulty elements Proposed Improvements • Strong increase of area • No detection of faulty elements Disadvantages

  9. Extended Alternating Module Activation Comparator • Additional Comparator→ enabling detection of inconsistent results of all module’s instances for same inputs • Deactivation via Sleep Transistor

  10. Extended Alternating Module Activation Built-In Self Test(BIST) - Mode • Additional BIST Mode→ Enabling identification of faulty instances • Deactivation via Sleep Transistor

  11. Extended Alternating Module Activation Control Flow Inconsistence detection while instances in transition BIST mode (system paused)

  12. Results Mean Time To Failure (vs. raw designs) 2.0 (Verilog cell models, technology and error data based on BPTM 22nm, 100 simulations, error free control circuitry)

  13. Results Improvements for Instances with Different MTTFs (Verilog cell models, data based on BPTM 22nm, 100 simulations, error free control circuitry, 7 standard designs from previous slide)

  14. Results Test Chip • CMOS ams c35 (0.35µm) • Normal Adder • Redundant Adder based on AMA • Sleep Transistors • Prepared for Controlled Destruction • External Control Circuitry • In testing phase Standard Adder AMA based Adder

  15. Conclusion • Progressing susceptibility of current technologies against severe failure mechanisms • Extension of expected lifetime by alternating (de-)activation of redundant blocks via sleep transistors • Identification and deactivation of faulty blocks • Extended control flow • Increase of MTTF by • Factor 2 for equally distributed failure probabilities • More than factor 3for unequallydistributed failure probabilities

  16. franksill@ufmg.br Thank you! ART OptMAlab / ART www.asic-reliability.com

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