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Performance and power modeling in a multi-programmed multi-core environment

Published: 13 June 2010 Publication History

Abstract

This paper describes a fast, automated technique for accurate on-line estimation of the performance and power consumption of interacting processes in a multi-programmed, multi-core environment. The proposed technique does not require modifying hardware or applications. The performance model uses reuse distance histograms, cache access frequencies, and the relationship between the throughput and cache miss rate of each process to predict throughput. The system-level power model is derived using multi-variable linear regression, accounting for cache contention. Both models are validated on multiple real multi-core systems using SPEC CPU2000 benchmarks; their performance and power estimates are within 3.5% of measured values on average. We explain how to integrate the two models for power estimation during process assignment, helpful for power-aware assignment.

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D. Brooks, V. Tiwari, and M. Martonosi. Wattch: A framework for architectural-level power analysis and optimizations. In Proc. Int. Symp. Computer Architecture, pages 83--94, June 2000.
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K. Singh, M. Bhadhauria, and S. McKee. Real time power estimation and thread scheduling via performance counters. ACM SIGARCH Computer Architecture News, pages 46--55, May 2008.
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Cited By

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  • (2024)Characterizing Power and Performance Interference Scalability in the 28-core ARM ThunderX22024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)10.1109/PDP62718.2024.00027(143-147)Online publication date: 20-Mar-2024
  • (2022)A Conflict-Aware Capacity Control Mechanism for Deep Cache HierarchyIEICE Transactions on Information and Systems10.1587/transinf.2021EDP7201E105.D:6(1150-1163)Online publication date: 1-Jun-2022
  • (2022)Fine-Grained Power Modeling of Multicore Processors Using FFNNsInternational Journal of Parallel Programming10.1007/s10766-022-00730-950:2(243-266)Online publication date: 29-Mar-2022
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    cover image ACM Conferences
    DAC '10: Proceedings of the 47th Design Automation Conference
    June 2010
    1036 pages
    ISBN:9781450300025
    DOI:10.1145/1837274
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    Published: 13 June 2010

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    Author Tags

    1. assignment
    2. performance modeling
    3. power modeling

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    View all
    • (2024)Characterizing Power and Performance Interference Scalability in the 28-core ARM ThunderX22024 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)10.1109/PDP62718.2024.00027(143-147)Online publication date: 20-Mar-2024
    • (2022)A Conflict-Aware Capacity Control Mechanism for Deep Cache HierarchyIEICE Transactions on Information and Systems10.1587/transinf.2021EDP7201E105.D:6(1150-1163)Online publication date: 1-Jun-2022
    • (2022)Fine-Grained Power Modeling of Multicore Processors Using FFNNsInternational Journal of Parallel Programming10.1007/s10766-022-00730-950:2(243-266)Online publication date: 29-Mar-2022
    • (2021)Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarksConcurrency and Computation: Practice and Experience10.1002/cpe.651635:15Online publication date: 22-Jul-2021
    • (2019)Predicting Server Power Consumption from Standard Rating ResultsProceedings of the 2019 ACM/SPEC International Conference on Performance Engineering10.1145/3297663.3310298(301-312)Online publication date: 4-Apr-2019
    • (2019)Fine-Grained Energy Efficiency Using Per-Core DVFS with an Adaptive Runtime System2019 Tenth International Green and Sustainable Computing Conference (IGSC)10.1109/IGSC48788.2019.8957174(1-8)Online publication date: Oct-2019
    • (2019)Online Power Consumption Estimation for Functions in Cloud Applications2019 IEEE International Conference on Autonomic Computing (ICAC)10.1109/ICAC.2019.00018(63-72)Online publication date: Jun-2019
    • (2019)User Driven Dynamic Frequency Scaling for Power-Aware Mobile Cloud Terminals2019 11th International Conference on Communication Systems & Networks (COMSNETS)10.1109/COMSNETS.2019.8711477(298-305)Online publication date: Jan-2019
    • (2018)RAPL in ActionACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/31777543:2(1-26)Online publication date: 22-Mar-2018
    • (2018)HSCSFrontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-017-6349-512:6(1090-1104)Online publication date: 1-Dec-2018
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