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Understanding the Impact of Dynamic Power Capping on Application Progress., , , , and . IPDPS, page 793-804. IEEE, (2019)Performance-Aware Energy-Efficient GPU Frequency Selection using DNN-based Models., , , , and . ICPP, page 433-442. ACM, (2023)Power Measurement and Concurrency Throttling for Energy Reduction in OpenMP Programs., , , and . IPDPS Workshops, page 884-891. IEEE, (2013)Using Dynamic Duty Cycle Modulation to Improve Energy Efficiency in High Performance Computing., , and . IPDPS Workshops, page 911-918. IEEE Computer Society, (2015)Understanding power variation and its implications on performance optimization on the Cori supercomputer., , and . PMBS, page 51-62. IEEE, (2021)Power Analysis of NERSC Production Workloads., , , , , and . SC Workshops, page 1279-1287. ACM, (2023)Comparing Power Signatures of HPC Workloads: Machine Learning vs Simulation., , , , , and . SC Workshops, page 1890-1893. ACM, (2023)Optimal GPU Frequency Selection using Multi-Objective Approaches for HPC Systems., , , , and . HPEC, page 1-7. IEEE, (2022)An Adaptive Core-Specific Runtime for Energy Efficiency., , , and . IPDPS, page 947-956. IEEE Computer Society, (2017)Toward an End-to-End Auto-tuning Framework in HPC PowerStack., , , , , , , , , and . CLUSTER, page 473-483. IEEE, (2020)