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Federating XDMoD to Monitor Affiliated Computing Resources., , , , , , , , , and 5 other author(s). CLUSTER, page 580-589. IEEE Computer Society, (2018)Analysis of XDMoD/SUPReMM Data Using Machine Learning Techniques., , , , , , , , , and 3 other author(s). CLUSTER, page 642-649. IEEE Computer Society, (2015)Managing computational gateway resources with XDMoD., , , , , , , , , and 4 other author(s). Future Gener. Comput. Syst., (2019)TAS view of XSEDE users and usage., , , , , , , , , and 4 other author(s). XSEDE, page 21:1-21:8. ACM, (2015)A Quantitative Analysis of Node Sharing on HPC Clusters Using XDMoD Application Kernels., , , , , , , , , and 3 other author(s). XSEDE, page 32:1-32:8. ACM, (2016)Monitoring and Analysis of Power Consumption on HPC Clusters using XDMoD., , , , and . PEARC, page 112-119. ACM, (2020)Comprehensive, open-source resource usage measurement and analysis for HPC systems., , , , , , , , , and 11 other author(s). Concurr. Comput. Pract. Exp., 26 (13): 2191-2209 (2014)Open XDMoD: A Tool for the Comprehensive Management of High-Performance Computing Resources., , , , , , , , , and 6 other author(s). Comput. Sci. Eng., 17 (4): 52-62 (2015)Workload Analysis of Blue Waters., , , , , , , , , and 5 other author(s). CoRR, (2017)Automatic Characterization of HPC Job Parallel Filesystem I/O Patterns., , , , , and . PEARC, page 3:1-3:8. ACM, (2018)