Abstract
Some traditional optimizations improve the performance of pro-cessors, but consume the higher power dissipation. We study this trade-off using software prefetching as performance-oriented optimization technique. We first demonstrate that software prefetching provides a significant performance boost with the higher power on several memory-intensive benchmarks. However, when we combine software prefetching with dynamic voltage/frequency scaling (DVFS), the performance gain can be achieved without power increase, which is called a power-aware approach. Besides reducing power dissipation through DVFS, we also improve the performance through adjusting the prefetch distance. A modified SimpleScalar/Wattch is used to evaluate our power-aware software prefetching. Experimental results show this optimization approach is effective to guarantee no power increase due to prefetching and improve the performance of software prefetching.
This work was supported by the Program of Nature Science Fund under Grant No. 60633050 and was supported by the National High Technology Development 863 Program of China under Grant No. 2002AA1Z2101 and No. 2004AA1Z2210.
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References
Tiwari, V., Malik, S., Wolfe, A.: Compilation Techniques for Low Energy: An Overview. In: The Proceedings of the 1994 Symposium on Low-Power Electronics, San Diego, CA (October 1994)
Burd, T., Brodersen, R.: Design issues for dynamic voltage scaling. In: The Proceedings of International Symposium on Low Power Electronics and Design, ISLPED-00 (2000)
Burger, D., Austin, T.M.: The SimpleScalar Tool Set, Version 2.0
Brooks, D., Tiwari, V., Martonosi, M.: Wattch: A Framework for Architectural-Level Power Analysis and Optimizations. In: The Proceedings of the 27th International Symposium on Computer Architecture (ISCA 00), June 2000, pp. 83–94 (2000)
Callahan, D., Kennedy, K., Porterfield, A.: Software Prefetching. In: The Proceedings of the 4th International Conference on Architectural Support for Programming Languages and Operating Systems, Santa Clara, CA (April 1991)
Mowry, T.C.: Tolerating Latency through Software-Controlled Data Prefetching. Doctor dissertation. Stanford University (March 1994)
Badawy, A.-H., Aggarwal, A., Yeung, D., Tseng, C.-W.: The Efficacy of Software Prefetching and Locality Optimizations on Future Memory Systems. Journal of Instruction-Level Parallelism 6 (2004)
Agarwal, D.N., Pamnani, S.N., Qu, G., Yeung, D.: Transferring Performance Gain from Software Prefetching to Energy Reduction. In: Proceedings of the 2004 International Symposium on Circuits and Systems (ISCAS2004), Vancouver, Canada (May 2004)
Xie, F., Martonosi, M., Malik, S.: Intraprogram Dynamic Voltage Scaling: Bounding Opportunities with Analytic Modeling. ACM Transactions on Architecture and Code Optimization 1(3), 323–367 (2004)
Chen, T., Baer, J.: Effective Hardware-Based Data Prefetching for High-Performance Processors. Transactions on Computers 44(5), 609–623 (1995)
van Gunsteren, W.F., Berendsen, H.J.C.: GROMOS: GROningen MOlecular Simulation software. tech. rep., Laboratory of Physical Chemistry, University of Groningen, Netherlands (1988)
Chen, J., Dong, Y., Yi, H.-z., Yang, X.-j.: Energy-Constrained Prefetching Optimization in Embedded Applications. In: Yang, L.T., Amamiya, M., Liu, Z., Guo, M., Rammig, F.J. (eds.) EUC 2005. LNCS, vol. 3824, pp. 267–280. Springer, Heidelberg (2005)
Chen, J., Yi, H., Dong, Y., Yang, X.: Study on Energy-Constrained Software Prefetching Optimization. Journal of Software 17(7), 1650–1660 (2006)
Sakurai, T., Newton, A.: Alpha-power model, and its application to CMOS inverter delay and other formulas. IEEE Journal Solid-State Circ. 25, 584–594 (1990)
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Chen, J., Dong, Y., Yi, H., Yang, X. (2007). Power-Aware Software Prefetching. In: Lee, YH., Kim, HN., Kim, J., Park, Y., Yang, L.T., Kim, S.W. (eds) Embedded Software and Systems. ICESS 2007. Lecture Notes in Computer Science, vol 4523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72685-2_20
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DOI: https://doi.org/10.1007/978-3-540-72685-2_20
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