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Small scale to extreme: Methods for characterizing energy efficiency in supercomputing applications., , , , , , and . SUSCOM, (2019)Standardizing Power Monitoring and Control at Exascale., , , , , and . IEEE Computer, 49 (10): 38-46 (2016)A Comparison of Power Management Mechanisms: P-States vs. Node-Level Power Cap Control., , , , , , and . IPDPS Workshops, page 725-729. IEEE Computer Society, (2018)Cactus Environment Machine - Shared Environment Call-by-Need., , , and . TFP, volume 10447 of Lecture Notes in Computer Science, page 24-43. Springer, (2016)An Adaptive Core-Specific Runtime for Energy Efficiency., , , and . IPDPS, page 947-956. IEEE Computer Society, (2017)Scalable generation of graphs for benchmarking HPC community-detection algorithms., , , , , and . SC, page 73:1-73:14. ACM, (2019)Scheduling Chapel Tasks with Qthreads on Manycore: A Tale of Two Schedulers., , , and . ROSS@HPDC, page 4:1-4:8. ACM, (2017)Metrics for Evaluating Energy Saving Techniques for Resilient HPC Systems., , , , and . IPDPS Workshops, page 790-797. IEEE Computer Society, (2014)Overcoming Challenges in Scalable Power Monitoring with the Power API., , , , , and . IPDPS Workshops, page 1094-1097. IEEE Computer Society, (2016)Early experiences co-scheduling work and communication tasks for hybrid MPI+X applications., , , , , and . ExaMPI@SC, page 9-19. IEEE, (2014)