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Wattch: a framework for architectural-level power analysis and optimizations

Published: 01 May 2000 Publication History

Abstract

Power dissipation and thermal issues are increasingly significant in modern processors. As a result, it is crucial that power/performance tradeoffs be made more visible to chip architects and even compiler writers, in addition to circuit designers. Most existing power analysis tools achieve high accuracy by calculating power estimates for designs only after layout or floorplanning are complete. In addition to being available only late in the design process, such tools are often quite slow, which compounds the difficulty of running them for a large space of design possibilities.
This paper presents Wattch, a framework for analyzing and optimizing microprocessor power dissipation at the architecture-level. Wattch is 1000X or more faster than existing layout-level power tools, and yet maintains accuracy within 10% of their estimates as verified using industry tools on leading-edge designs. This paper presents several validations of Wattch's accuracy. In addition, we present three examples that demonstrate how architects or compiler writers might use Wattch to evaluate power consumption in their design process.
We see Wattch as a complement to existing lower-level tools; it allows architects to explore and cull the design space early on, using faster, higher-level tools. It also opens up the field of power-efficient computing to a wider range of researchers by providing a power evaluation methodology within the portable and familiar SimpleScalar framework.

References

[1]
M. Azam, P. Franzon, W. Liu, and T. Conte. Low Power Data Processing by Elimination of Redundant Computations. In Proc. of Int'l Symposium on Low-Power Electronics and Design, 1997.
[2]
R. I. Bahar, G. Albera, and S. Manne. Power and performance tradeoffs using various caching strategies. In Proc. of Int'l Symposium on Low-Power Electronics and Design, 1998.
[3]
B. Bishop, T. Kelliher, and M. Irwin. The Design of a Register Renaming Unit. In Proc. of Great Lakes Symposium on VLSI, 1999.
[4]
M. Borah, R. Owens, and M. Irwin. Transistor sizing for low power CMOS circuits. IEEE Transactions on Computer- Aided Design of Integrated Circuits and Systems, 15(6):665- 71, 1996.
[5]
W. J. Bowhill et al. Circuit Implementation of a 300-MHz 64- bit Second-generation CMOS Alpha CPU. Digital Technical Journal, 7(1):100-118, 1995.
[6]
D. Brooks and M. Martonosi. Dynamically exploiting narrow width operands to improve processor power and performance. In Proc. of the 5th Int'l Syrup. on High-Performance Computer Architecture, Jan. 1999.
[7]
D. Burger and T. M. Austin. The SimpleScalar Tool Set, Version 2.0. Computer Architecture News, pages 13-25, June 1997.
[8]
R. Chen, M. Irwin, and R. Bajwa. An architectural level power estimator. In Power-Driven Microarchitecture Workshop at ISCA25, 1998.
[9]
D. Citron, D. Feitelson, and L. Rudolph. Accelerating multimedia processing by implementing memoing in multiplication and division units. In Proceedings of the 8th Int'l Conf. on Architectural Support for Programming Languages and Operating Systems (ASPLOS-VIII), pages 252-261, Oct. 1998.
[10]
H. Fair and D. Bailey. Clocking Design and Analysis for a 600MHz Alpha Microprocessor. In ISSCC Digest of Technical Papers, pages 398-399, February 1998.
[11]
F. Gabbay and A. Mendelson. Using value prediction to increase the power of speculative execution hardware. ACM Transactions on Computer Systems, Aug. 1998.
[12]
R. Gonzalez and M. Horowitz. Energy Dissipation in General Purpose Microprocessors. IEEE Journal of Solid-State Circuits, 31(9):1277-84, 1996.
[13]
M. Gowan, L. Biro, and D. Jackson. Power considerations in the design of the Alpha 21264 microprocessor. In 35th Design Automation Conference, 1998.
[14]
L. Gwennap. Intel's P6 uses decoupled superscalar design. Microprocessor Report, pages 9-15, Feb. 16, 1995.
[15]
Q. Jacobson and J. Smith. Instruction pre-processing in trace processors. In Proc. of the 5th Int'l Syrup. on High- Performance Computer Architecture, Jan. 1999.
[16]
M. G. Johnson Kin and W. H. Mangione-Smith. The filter cache: An energy efficient memory structure. In Proc. of the 30th Int'l Syrup. on Microarchitecture, Nov. 1997.
[17]
M. B. Kamble and K. Ghose. Analytical Energy Dissipation Models for Low Power Caches. In Proc. of Int'l Symposium on Low-Power Electronics and Design, 1997.
[18]
S. Manne, A. Klauser, and D. Grunwald. Pipeline gating: Speculation control for energy reduction. In Proc. of the 25th Int'l Syrup. on Computer Architecture, pages 132-41, June 1998.
[19]
Mentor Graphics Corporation, 1999.
[20]
J. Montanaro et al. A 160-MHz, 32-b, 0.5W CMOS RISC microprocessor. Digital Technical Journal, 9(2):49-62, 1996.
[21]
S. Palacharla, N. Jouppi, and J. Smith. Complexity-Effective Superscalar Processors. In Proc. of the 24th Int'l Syrup. on Computer Architecture, 1997.
[22]
S. Palacharla, N. Jouppi, and J. Smith. Quantifying the Complexity of Superscalar Processors. In Univ. of Wisconsin Computer Science Tech. Report 1328, 1997.
[23]
H. Sanchez et al. Thermal management system for high performance PowerPC microprocessors. In Proceedings of CompCon '97, Feb. 1997.
[24]
K. Skadron, P. S. Ahuja, M. Martonosi, and D. W. Clark. Branch prediction, instruction-window size, and cache size: Performance tradeoffs and simulation techniques. IEEE Transactions on Computers, 48(11):1260-810, Nov. 1999.
[25]
A. Sodani and G. Sohi. Dynamic instruction reuse. In Proc. of the 24th Int'l Syrup. on Computer Architecture, May 1997.
[26]
G. S. Sohi and A. S. Vajapeyam. Instruction issue logic for high-performance, interruptible pipelined processors. In Proc. of the 14th Int'l Syrup. on Computer Architecture, pages 27-34, June 1987.
[27]
C. Su and A. Despain. Cache Designs for Energy Efficiency. In Proceedings of the 28th Hawaii Int'l Conference on System Science, 1995.
[28]
Synopsys Corporation. Powermill Data Sheet, 1999.
[29]
V. Tiwari et al. Reducing power in high-performance microprocessors. In 35th Design Automation Conference, 1998.
[30]
S. Wilton and N. Jouppi. An Enhanced Access and Cycle Time Model for On-chip Caches. In WRL Research Report 93/5, DEC Western Research Laboratory, 1994.
[31]
R. Zimmermann and W. Fichtner. Low-power logic styles: CMOS versus pass-transistor logic. IEEE Journal of Solid- State Circuits, 32(7):1079-90, 1997.
[32]
V. Zyuban and P. Kogge. The energy complexity of register files. In Proc. of Int'l Symposium on Low-Power Electronics and Design, pages 305-310, 1998.

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    Published In

    cover image ACM SIGARCH Computer Architecture News
    ACM SIGARCH Computer Architecture News  Volume 28, Issue 2
    Special Issue: Proceedings of the 27th annual international symposium on Computer architecture (ISCA '00)
    May 2000
    325 pages
    ISSN:0163-5964
    DOI:10.1145/342001
    Issue’s Table of Contents
    • cover image ACM Conferences
      ISCA '00: Proceedings of the 27th annual international symposium on Computer architecture
      June 2000
      327 pages
      ISBN:1581132328
      DOI:10.1145/339647
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 May 2000
    Published in SIGARCH Volume 28, Issue 2

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