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Post-silicon power characterization using thermal infrared emissions

Published:18 August 2010Publication History

ABSTRACT

Design-time power analysis is one of the most critical tasks conducted by chip architects and circuit designers. While computer-aided power analysis tools can provide power consumption estimates for various circuit blocks, these estimates can substantially deviate from the actual power consumption of working silicon chips. We propose a novel methodology that provides accurate, detailed post-silicon spatial power estimates using the thermal infrared emissions from the backside of silicon die. We theoretically and empirically demonstrate the inherent difficulties in thermal to power inversion. These difficulties arise from measurement errors and from the inherent spatial low-pass filtering associated with heat diffusion. To address these difficulties we propose new techniques from regularization theory to invert temperature to power. Furthermore, we propose new techniques to compute the emissivities and conductances required for any infrared to power inversion method. To verify our results, a programmable circuit of micro heaters is implemented to create any desired power pattern. The thermal emissions of different known injected power patterns are captured using a state-of-the-art infrared camera, and then our characterization techniques are applied to invert the thermal emissions to power. The estimated power patterns are validated against the injected power patterns to demonstrate the accuracy of our methodology.

References

  1. G. C. Albright and J. McDonald. Microthermal Imaging in the Infrared. Electronics Cooling, January 1997.Google ScholarGoogle Scholar
  2. M. Bertero and P. Boccacci. Introduction to Inverse Problems in Imaging. Institute of Physics Publishing, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  3. D. Brooks, V. Tiwari, and M. Martonosi. Wattch: A Framework for Architectural-Level Power Analysis and Optimizations. In International Symposium on Computer Architecture, pages 83--94, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. K. Etessam-Yazdani, M. Asheghi, and H. Hamann. Investigation of the Impact of Power Granularity on Chip Thermal Modeling Using White Noise Analysis. IEEE Trans on Components and Packaging Technologies, 31(1):211--215, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  5. H. Hamann, A. Weger, J. Lacey, Z. Hu,and P. Bose. Hotspot-Limited Microprocessors: Direct Temperature and Power Distribution Measurements. IEEE Journal of Solid-State Circuits, 42(1):56--65, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  6. W. Huan, M. R. Stan, K. Sankaranarayanan, R. J. Ribando, and K. Skadron. Many-Core Design from a Thermal Perspective. In Design Automation Conference, pages 746--749, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. C. Isci, G. Contreras, and M. Martonosi. Live, RuntimePhase Monitoring and Prediction on Real Systems with Application to Dynamic Power Management. In International Symposium on Microarchitecture, pages 359--370, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. Lin, G. Chrysler, R. Mahajan, V. De, and K. Banerjee. A Self-Consistent Substrate Thermal Profile Estimation Technique for Nanoscale ICs -- Part I: Electrothermal Couplings and Full-Chip Package Thermal Model. IEEE Transactions on Electron Devices, 54(12):3342--3350, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  9. F. J. Mesa-Martinez, M. Brown, J. Nayfach-Battilana, and J. Renau. Measuring Performance, Power, and Temperature from Real Processors. In International Symposium on Computer Architecture, pages 1--10, 2007.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. Pedram and S. Nazarin. Thermal Modeling, Analysis, and Management in VLSI circuits: Principles and Methods. Proceedings of the IEEE, 94(8):1487--1501, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  11. M. Powell, A. Biswas, J. Emer, and S. Mukherjee. CAMP: A Technique to Estimate per-Structure Power at Run-Time Using a Few Simple Parameters. International Symposium on High Performance Computer Architecture, pages 289--300, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  12. J. Renau. Personal Communication.Google ScholarGoogle Scholar
  13. A. Rogalski and K.Chrzanowski. Infrared Devices and Techniques. Opto-Electronics Review, 10(2):111--136, 2002.Google ScholarGoogle Scholar
  14. A. Srivastava, R. Bai, D. Blaauw, and D. Sylvester. Modeling and Analysis of Leakage Power Considering Within-Die Process Variations. In International Symposium on Low Power Electronics and Design, pages 64--67, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. C. R.Vogel. Computational Methods for Inverse Problems. Society for Industrial and Applied Math, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Conferences
      ISLPED '10: Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
      August 2010
      458 pages
      ISBN:9781450301466
      DOI:10.1145/1840845

      Copyright © 2010 ACM

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      New York, NY, United States

      Publication History

      • Published: 18 August 2010

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