Abstract
The ever-growing need for energy efficient computation requires adequate support for energy-aware thread scheduling that offers insight into a systems behavior for improved application energy/performance optimizations. Runtime accurate monitoring of energy consumed by every component of a multi-core embedded system is an important feature to be considered for future designs. Although, important steps have been made in this direction, the problem of distributing energy consumption among threads executed on different cores for shared components remains an ongoing struggle. We aim at designing a generic low-cost and energy efficient hardware infrastructure which supports thread level energy accounting of hardware components in a multi-core system. The proposed infrastructure provides upper software layers with per thread and per component energy accounting API, similar with performance profiling functions. Implementation results indicate that the proposed solution adds around 10 % resource overhead to the monitored system. Regarding the power estimates, the one derived by our solution achieves a correlation degree of more than 95 % with the ones obtained from physical power measurements.
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References
Weaver, V.M., Johnson, M., Kasichayanula, K., Ralph, J., Luszczek, P., Terpstra, D., Moore, S.: Measuring energy and power with PAPI. In: Proceedings of 41st International Conference on Parallel Processing Workshops (ICPPW 2012), September 2012
Bouajila, A., Lakhtel, A., Zeppenfeld, J., Stechele, W., Herkersdorf, A.: A low-overhead monitoring ring interconnect for MPSoC parameter optimization. In: Proceedings of IEEE International Symposium on Design and Diagnostics of Electronic Circuits & Systems (DDECS 2012), Tallinn, Estonia, April 2012
Madduri, S., Vadlamani, R., Burleson, W., Tessier, R.: A monitor interconnect and support subsystem for multicore processors. In: Proceedings of Design, Automation & Test Europe (DATE 2009) Nice, France, April 2009
Zhao, J., Madduri, S., Vadlamani, R., Burleson, W., Tessier, R.: A dedicated monitoring infrastructure for multicore processors. IEEE Trans. VLSI Syst. 19(6), 1011–1022 (2011)
Choi, S., Hwang, H., Song, B., Cha, H.: Hardware-assisted energy monitoring architecture for micro sensor nodes. J. Syst. Arch. 58(2), 73–85 (2012)
Lui, Q., Moreto, M., Jimenez, V., Abella, J., Cazorla, F.J., Valero, M.: Hardware support for accurate per-task energy metering in multicore systems. ACM Trans. Archit. Code Optim. 10(4), 34 (2013)
Ituero, P., López-Vallejo, M., Marcos, M.A.S., Osuna, C.G.: Light-weight on-chip monitoring network for dynamic adaptation and calibration. IEEE Sensors J. 12(6), 1736–1745 (2012)
Molka, D., Hackenberg, D., Schone, R., Millier, M.S.: Characterizing the energy consumption of data transfers and arithmetic operations on x86-64 processors. In: Proceedings of International Green Computing Conference, GreenComp2010, Chicago, USA, August 2010
Zeng, H., Ellis, C.S., Lebeck, A.R., Vahdat, A.: ECOSystem: managing energy as a first class operating system resource. In: Proceedings of the 10th International Conference On Architectural Support for Programming Languages and Operating Systems (ASPLOS X), pp.123–132. ACM, New York, NY, USA (2002)
Snowdon, D.C., Le Sueur, E., Petters, S.M., Heiser, G.: Koala: a platform for OS-level power management. In: Proceedings of the 4th ACM European Conference on Computer Systems (EuroSys 2009), New York, USA (2009)
Roy, A., Rumble, S.M., Stutsman, R., Levis, P., Mazières, D., Zeldovich, N.: Energy management in mobile devices with the cinder OS. In: Proceedings of Conference on Computer Systems (EuroSys), New York, USA (2011)
OpenCores, WISHBONE System-on-Chip (SoC) Interconnection (2010)
ARM, AMBA Open Specifications (2003)
Xilinx Inc., MicroBlaze Processor Reference Guide, UG984 (v2014.1) (2014)
WCET benchmark: http://www.mrtc.mdh.se/projects/wcet/benchmarks.html
Acknowledgments
This work has been supported by the project CHIST-ERA/1/01.10.2012 – “GEMSCLAIM: GreenEr Mobile Systems by Cross LAyer Integrated energy Management”.
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Marcu, M. et al. (2016). Low-Cost Hardware Infrastructure for Runtime Thread Level Energy Accounting. In: Hannig, F., Cardoso, J.M.P., Pionteck, T., Fey, D., Schröder-Preikschat, W., Teich, J. (eds) Architecture of Computing Systems – ARCS 2016. ARCS 2016. Lecture Notes in Computer Science(), vol 9637. Springer, Cham. https://doi.org/10.1007/978-3-319-30695-7_21
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DOI: https://doi.org/10.1007/978-3-319-30695-7_21
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