Software and Computational Systems Lab

Publications about Energy Measurement

1. Dirk Beyer and Philipp Wendler. CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering. In Proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 2020, Dublin, Ireland, April 25-30), part 2, LNCS 12079, pages 126-133, 2020. Springer. doi:10.1007/978-3-030-45237-7_8 Keyword(s): Benchmarking, Energy Measurement Publisher's Version PDF Presentation Video Supplement
   Abstract

   Verification algorithms are among the most resource-intensive computation tasks. Saving energy is important for our living environment and to save cost in data centers. Yet, researchers compare the efficiency of algorithms still in terms of consumption of CPU time (or even wall time). Perhaps one reason for this is that measuring energy consumption of computational processes is not as convenient as measuring the consumed time and there is no sufficient tool support. To close this gap, we contribute CPU Energy Meter, a small tool that takes care of reading the energy values that Intel CPUs track inside the chip. In order to make energy measurements as easy as possible, we integrated CPU Energy Meter into BenchExec, a benchmarking tool that is already used by many researchers and competitions in the domain of formal methods. As evidence for usefulness, we explored the energy consumption of some state-of-the-art verifiers and report some interesting insights, for example, that energy consumption is not necessarily correlated with CPU time.
   BibTeX Entry

   @inproceedings{TACAS20b, author = {Dirk Beyer and Philipp Wendler}, title = {CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering}, booktitle = {Proceedings of the 26th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS~2020, Dublin, Ireland, April 25-30), part 2}, pages = {126-133}, year = {2020}, series = {LNCS~12079}, publisher = {Springer}, doi = {10.1007/978-3-030-45237-7_8}, sha256 = {c5c8ad06f4b192e61799469a8fc6ca4661714aa2945e0ce07363a376ff06dcd7}, url = {https://www.sosy-lab.org/research/energy-measurement/}, presentation = {https://www.sosy-lab.org/research/prs/2021-03-31_TACAS20_CPU-Energy-Meter_Dirk.pdf}, abstract = {Verification algorithms are among the most resource-intensive computation tasks. Saving energy is important for our living environment and to save cost in data centers. Yet, researchers compare the efficiency of algorithms still in terms of consumption of CPU time (or even wall time). Perhaps one reason for this is that measuring energy consumption of computational processes is not as convenient as measuring the consumed time and there is no sufficient tool support. To close this gap, we contribute CPU Energy Meter, a small tool that takes care of reading the energy values that Intel CPUs track inside the chip. In order to make energy measurements as easy as possible, we integrated CPU Energy Meter into BenchExec, a benchmarking tool that is already used by many researchers and competitions in the domain of formal methods. As evidence for usefulness, we explored the energy consumption of some state-of-the-art verifiers and report some interesting insights, for example, that energy consumption is not necessarily correlated with CPU time.}, keyword = {Benchmarking, Energy Measurement}, video = {https://youtu.be/qzKAoBVTw2c}, }

2. Petros Isaakidis. Energy Consumption Prediction of Verification Work. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2020. Keyword(s): CPAchecker, Benchmarking, Energy Measurement
   BibTeX Entry

   @misc{IsaakidisEnergy, author = {Petros Isaakidis}, title = {Energy Consumption Prediction of Verification Work}, year = {2020}, keyword = {CPAchecker, Benchmarking, Energy Measurement}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
3. Maximilian Hailer. Measuring and Optimizing Energy Consumption of Verification Work on Clusters. Bachelor's Thesis, LMU Munich, Software Systems Lab, 2019. Keyword(s): Benchmarking, Energy Measurement PDF Presentation
   BibTeX Entry

   @misc{HailerEnergy, author = {Maximilian Hailer}, title = {Measuring and Optimizing Energy Consumption of Verification Work on Clusters}, year = {2019}, pdf = {https://www.sosy-lab.org/research/bsc/2019.Hailer.Measuring_and_Optimizing_Energy_Consumption_of_Verification_Work_on_Clusters.pdf}, presentation = {https://www.sosy-lab.org/research/prs/2019-10-30_BA_MeasuringAndOptimizingEnergyConsumptionOfVerificationWork_Hailer.pdf}, keyword = {Benchmarking, Energy Measurement}, field = {Computer Science}, howpublished = {Bachelor's Thesis, LMU Munich, Software Systems Lab}, }
4. Nils Steinger. Measuring, Visualizing, and Optimizing the Energy Consumption of Computer Clusters. Bachelor's Thesis, University of Passau, Software Systems Lab, 2017. Keyword(s): Benchmarking, Energy Measurement PDF Supplement
   BibTeX Entry

   @misc{SteingerMeasuring, author = {Nils Steinger}, title = {Measuring, Visualizing, and Optimizing the Energy Consumption of Computer Clusters}, year = {2017}, url = {https://www.sosy-lab.org/research/bsc/steinger}, pdf = {https://www.sosy-lab.org/research/bsc/2017.Steinger.Measuring,_Visualizing,_and_Optimizing_the_Energy_Consumption_of_Computer_Clusters.pdf}, keyword = {Benchmarking, Energy Measurement}, field = {Computer Science}, howpublished = {Bachelor's Thesis, University of Passau, Software Systems Lab}, }