The Community for Technology Leaders
RSS Icon
Issue No.09 - September (2011 vol.60)
pp: 1219-1232
Guihai Yan , Chinese Academy of Sciences, Institute of Computing Technology, Beijing
Yinhe Han , Chinese Academy of Sciences, Beijing
Xiaowei Li , Chinese Academy of Sciences, Institute of Computing Technology, Beijing
The aggressive technology scaling poses serious challenges to lifetime reliability. A parament challenge comes from a variety of aging mechanisms that can cause gradual performance degradation of circuits. Prior work shows that such progressive degradation can be reliably detected by dedicated aging sensors, which provides a good foundation for proposing a new scheme to improve lifetime reliability. In this paper, we propose ReviveNet, a hardware-implemented aging-aware and self-adaptive architecture. Aging awareness is realized by deploying dedicated aging sensors, and self-adaptation is achieved by employing a group of synergistic agents. Each agent implements a localized timing adaptation mechanism to tolerate aging-induced delay on critical paths. On the evaluation, a reliability model based on widely used weibull distribution is presented. Experimental results show that, without compromising with any nominal architectural performance, ReviveNet can improve the Mean-Time-To-Failure by up to 48.7 percent, at the expense of 9.5 percent area overhead and small power increase.
Lifetime reliability, self-adaptive, aging sensor, timing adaptation, NBTI.
Guihai Yan, Yinhe Han, Xiaowei Li, "ReviveNet: A Self-Adaptive Architecture for Improving Lifetime Reliability via Localized Timing Adaptation", IEEE Transactions on Computers, vol.60, no. 9, pp. 1219-1232, September 2011, doi:10.1109/TC.2011.33
[1] Sony, Quality and Reliability Handbook, 2000.
[2] Atmel, Quality & Reliability Handbook, 2004.
[3] S. Borkar, “Designing Reliable Systems from Unreliable Components: The Challenges of Transistor Variability and Degradation,” IEEE Micro, vol. 25, no. 6, pp. 10-16, Nov./Dec. 2005.
[4] “Process Integration, Devices, and Structures,” technical report, ITRS, 2007.
[5] M. Agarwal, B.C. Paul, M. Zhang, and S. Mitra, “Circuit Failure Prediction and Its Application to Transistor Aging,” Proc. IEEE 25th VLSI Test Symp. (VTS '07), pp. 277-286, 2007.
[6] J. Blome, S. Feng, S. Gupta, and S. Mahlke, “Self-Calibrating Online Wearout Detection,” Proc. IEEE/ACM 40th Ann. Int'l Symp. Microarchitecture (Micro), pp. 109-122, 2007.
[7] B.C. Paul, K. Kang, H. Kufluoglu, M.A. Alam, and K. Roy, “Impact of NBTI on the Temporal Performance Degradation of Digital Circuits,” IEEE Electron Device Letters, vol. 26, no. 8, pp. 560-562, Aug. 2005.
[8] W. Wang, S. Yang, S. Bhardwaj, R. Vattikonda, S. Vrudhula, F. Liu, and Y. Cao, “The Impact of NBTI on the Performance of Combinational and Sequential Circuits,” Proc. IEEE/ACM 44th Design Automation Conf. (DAC), 2007.
[9] R. Rodriguez, J.H. Stathis, and B.P. Linder, “Modeling and Experimental Verification of the Effect of Gate Oxide Breakdown on CMOS Inverters,” Proc. IEEE 41st Ann. Int'l Reliability Physics Symp., pp. 11-16, 2003.
[10] A. Avellan and W.H. Krautschneider, “Impact of Soft and Hard Breakdown on Analog and Digital Circuits,” IEEE Trans. Device and Materials Reliability, vol. 4, no. 4, pp. 676-680, Dec. 2004.
[11] B. Kaczer, R. Degraeve, P. Roussel, and G. Groeseneken, “Gate Oxide Breakdown in Fet Devices and Circuits: From Nanoscale Physics to System-Level Reliability,” Microelectronics Reliability, vol. 47, nos. 4-5, pp. 559-566, 2007.
[12] S. Borkar, T. Karnik, S. Narendra, J. Tschanz, A. Keshavarzi, and V. De, “Parameter Variations and Impact on Circuits and Microarchitecture,” Proc. Design Automation Conf., pp. 338-342, 2003.
[13] G. Chen, K.Y. Chuah, M.F. Li, D.S.H. Chan, C.H. Ang, J.Z. Zheng, Y. Jin, and D.L. Kwong, “Dynamic NBTI of PMOS Transistors and Its Impact on Device Lifetime,” Proc. IEEE 41st Ann. Int'l Reliability Physics Symp., pp. 196-202, 2003.
[14] R. Vattikonda, W. Wang, and Y. Cao, “Modeling and Minimization of PMOS NBTI Effect for Robust Nanometer Design,” Proc. IEEE/ACM Design Automation Conf., pp. 1047-1052, 2006.
[15] W. Wang, V. Reddy, A.T. Krishnan, R. Vattikonda, S. Krishnan, and Y. Cao, “Compact Modeling and Simulation of Circuit Reliability for 65-nm CMOS Technology,” IEEE Trans. Device and Materials Reliability, vol. 7, no. 4, pp. 509-517, Dec. 2007.
[16] J. Srinivasan, S.V. Adve, P. Bose, and J.A. Rivers, “The Case for Lifetime Reliability-Aware Microprocessors,” Proc. 31st Ann. Int'l Symp. Computer Architecture, pp. 276-287, 2004.
[17] J. Abella, X. Vera, and A. Gonzalez, “Penelope: The NBTI-Aware Processor,” Proc. IEEE/ACM 40th Ann. Int'l Symp. Microarchitecture (Micro), pp. 85-96, 2007.
[18] J. Shin, V. Zyuban, Z. Hu, J.A. Rivers, and P. Bose, “A Framework for Architecture-Level Lifetime Reliability Modeling,” Proc. IEEE/IFIP 37th Ann. Int'l Conf. Dependable Systems and Networks (DSN '07), 2007.
[19] G. Yan, Y. Han, and X. Li, “A Unified Online Fault Detection Scheme via Checking of Stability Violation,” Proc. Conf. Design, Automation and Test in Europe (DATE '09), pp. 496-501, 2009.
[20] A. Tiwari and J. Torrellas, “Facelift: Hiding and Slowing Down Aging in Multicores,” Proc. IEEE/ACM 41st Int'l Symp. Microarchitecture (Micro), pp. 129-140, 2008.
[21] J. Srinivasan, S.V. Adve, B. Pradip, and J.A. Rivers, “Exploiting Structural Duplication for Lifetime Reliability Enhancement,” Proc. 32nd Int'l Symp. Computer Architecture (ISCA '05), pp. 520-531, 2005.
[22] J. Shin, V. Zyuban, P. Bose, and T.M. Pinkston, “A Proactive Wearout Recovery Approach for Exploiting Microarchitectural Redundancy to Extend Cache SRAM Lifetime,” Proc. 35th Ann. Int'l Symp. Computer Architecture (ISCA '08), pp. 353-362, 2008.
[23] M. Agarwal et al., “Optimized Circuit Failure Prediction for Aging: Practicality and Promise,” Proc. IEEE Int'l Test Conf. (ITC), pp. 1-10, 2008.
[24] A. Tiwari, S.R. Sarangi, and J. Torrellas, “ReCycle: Pipeline Adaptation to Tolerate Process Variation,” Proc. 34th Ann. Int'l Symp. Computer Architecture (ISCA '07), pp. 323-334, 2007.
[25] “Opensparc T1 Microarchitecture Specification,” technical report, Sun Microsystems, Inc., 2006.
[26] S. Venkataraman and S.B. Drummonds, “Poirot: A Logic Fault Diagnosis Tool and Its Applications,” Proc. Int'l Test Conf., pp. 253-262, 2000.
[27] T. Xanthopoulos, D.W. Bailey, A.K. Gangwar, M.K. Gowan, A.K. Jain, and B.K. Prewitt, “The Design and Analysis of the Clock Distribution Network for a 1.2 Ghz Alpha Microprocessor,” Proc. IEEE Int'l Solid-State Circuits Conf., pp. 402-403, 2001.
[28] K. Minami et al., “A 1 Ghz Portable Digital Delay-Locked Loop with Infinite Phase Capture Ranges,” Proc. IEEE Int'l Solid-State Circuits Conf. (ISSCC), pp. 350-351, 469, 2000.
[29] Y.-J. Jeon, J.-H. Lee, H.-C. Lee, K.-W. Jin, K.-S. Min, J.-Y. Chung, and H.-J. Park, “A 66-333-Mhz 12-Mw Register-Controlled Dll with a Single Delay Line and Adaptive-Duty-Cycle Clock Dividers for Production Ddr Sdrams,” IEEE J. Solid-State Circuits, vol. 39, no. 11, pp. 2087-2092, Nov. 2004.
[30] P. Mahoney, E. Fetzer, B. Doyle, and S. Naffziger, “Clock Distribution on a Dual-Core, Multi-Threaded Itanium-Family Processor,” Proc. IEEE Int'l Solid-State Circuits Conf. (ISSCC), pp. 292-293, 2005.
[31] D.E. Duarte, N. Vijaykrishnan, and M.J. Irwin, “A Clock Power Model to Evaluate Impact of Architectural and Technology Optimizations,” IEEE Trans. Very Large Scale Integration, vol. 10, no. 6, pp. 844-855, Dec. 2002.
[32] B.C. Paul, K. Kunhyuk, H. Kufluoglu, M.A. Alam, and K. Roy, “Temporal Performance Degradation under NBTI: Estimation and Design for Improved Reliability of Nanoscale Circuits,” Proc. Design Automation and Test in Europe (DATE '06), pp. 1-6, 2006.
[33] R. Doering and Y. Nishi, Handbook of Semiconductor Manufacturing Technology, second ed. CRC, 2007.
[34] K.A. Bowman, S.G. Duvall, and J.D. Meindl, “Impact of Die-to-Die and within-Die Parameter Fluctuations on the Maximum Clock Frequency Distribution for Gigascale Integration,” IEEE J. Solid-State Circuits, vol. 37, no. 2, pp. 183-190, Feb. 2002.
[35] J.H. Stathis, “Reliability Limits for the Gate Insulator in CMOS Technology,” IBM J. Research and Development, vol. 46, no. 2.3, pp. 265-286, Mar. 2002.
[36] J.M. Rabaey, A. Chandrakasan, and B. Nikolic, Digital Integrated Circuits, A Design Perspective, second ed., Pearson Education Asia Limited and Tsinghu Univ. Press, 2004.
14 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool