Skip to main content

A Low Power Branch Predictor to Selectively Access the BTB

  • Conference paper
Book cover Advances in Computer Systems Architecture (ACSAC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3189))

Included in the following conference series:

Abstract

As the pipeline length increases, the accuracy in a branch prediction gets critical to overall performance. In designing a branch predictor, in addition to accuracy, microarchitects should consider power consumption, especially in embedded processors. In this paper, we propose a low power branch predictor, which is based on the gshare predictor, by accessing the BTB (Branch Target Buffer) only when the prediction from the PHT (Prediction History Table) is taken. To enable this, the PHT is accessed one cycle earlier to prevent the additional delay. As a side effect, two predictions from the PHT are obtained at one access to the PHT, which leads to more power reduction. The proposed branch predictor reduces the power consumption, not requiring any additional storage arrays, not incurring additional delay (except just one MUX delay) and never harming accuracy. The simulation results show that the proposed predictor reduces the power consumption by 43-52%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Parikh, Skadron, K., Zhang, Y., Barcella, M., Stan, M.: Power issues related to branch prediction. In: Proc. Int. Conf. on High-Performance Computer Architecture, pp. 233–242 (2002)

    Google Scholar 

  2. Jimenez, D.A.: Reconsidering complex branch predictors. In: Proc. Int. Conf. on High-Performance Computer Architecture, pp. 43–52 (2003)

    Google Scholar 

  3. Jimenez, D.A., Keckler, S.W., Lin, C.: The impact of delay on the design of branch predictors. In: Proc. Int. Symp. on Microarchitecture, pp. 67–76 (2000)

    Google Scholar 

  4. McFarling, S.: Combining branch predictors, WRL Technical note TN-36, Digital (1993)

    Google Scholar 

  5. Samsung Electronics: Samsung Memory Compiler (2002)

    Google Scholar 

  6. Standard Performance Evaluation Corporation: SPEC CPU 2000 Benchmarks (2000), available at http://www.specbench.org/osg/cpu2000

  7. Lee, C., Potkonjak, M.: W Mangione-Smith.: MediaBench: A Tool for Evaluating Synthesizing Multimedia and Communication Systems. In: Proc. Int. Symp. On Microarchitecture (1997)

    Google Scholar 

  8. ARM Corp., ARM1136J(F)-S, available at http://www.arm.com/products/CPUs/ARM1136JF-S.html

  9. ARM Corp., ARM1156T2(F)-S, available at http://www.arm.com/products/CPUs/ARM1156T2-S.html

  10. Simpelscalar LLC, The Simplescalar Tool Set 3.0 available at http://www.simplescalar.com

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chung, S.W., Park, S.B. (2004). A Low Power Branch Predictor to Selectively Access the BTB. In: Yew, PC., Xue, J. (eds) Advances in Computer Systems Architecture. ACSAC 2004. Lecture Notes in Computer Science, vol 3189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30102-8_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30102-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23003-8

  • Online ISBN: 978-3-540-30102-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics