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Global Extensible Open Power Manager: A Vehicle for HPC Community Collaboration on Co-Designed Energy Management Solutions.

, , , , , , , , , and . ISC, volume 10266 of Lecture Notes in Computer Science, page 394-412. Springer, (2017)

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Power Consumption Due to Data Movement in Distributed Programming Models., , , and . Euro-Par, volume 8632 of Lecture Notes in Computer Science, page 366-378. Springer, (2014)Introducing Application Awareness Into a Unified Power Management Stack., , , , , , , , , and 4 other author(s). IPDPS, page 320-329. IEEE, (2021)Analyzing the Energy and Power Consumption of Remote Memory Accesses in the OpenSHMEM Model., , , , and . OpenSHMEM, volume 8356 of Lecture Notes in Computer Science, page 59-73. Springer, (2014)ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales., , , , , , , , , and . CoRR, (2023)A Coarray Fortran implementation to support data-intensive application development., , , , , and . Clust. Comput., 17 (2): 569-583 (2014)Guiding Hardware-Driven Turbo with Application Performance Awareness., , , , , , and . IGSC, page 1-8. IEEE, (2022)Energy and Power Aware Job Scheduling and Resource Management: Global Survey - Initial Analysis., , , , , , , , and . IPDPS Workshops, page 685-693. IEEE Computer Society, (2018)Analysis of Energy and Performance of PGAS-based Data Access Patterns., , and . PGAS, page 15:1-15:10. ACM, (2014)An End-to-End HPC Framework for Dynamic Power Objectives., , , , , , and . SC Workshops, page 1801-1811. ACM, (2023)Toward an End-to-End Auto-tuning Framework in HPC PowerStack., , , , , , , , , and . CLUSTER, page 473-483. IEEE, (2020)