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Application kernels: HPC resources performance monitoring and variance analysis.

, , , , , , , and . Concurr. Comput. Pract. Exp., 27 (17): 5238-5260 (2015)

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Towards Performant Workflows, Monitoring and Measuring., , , , , , , , and . ICCCN, page 1-9. IEEE, (2020)Federating XDMoD to Monitor Affiliated Computing Resources., , , , , , , , , and 5 other author(s). CLUSTER, page 580-589. IEEE Computer Society, (2018)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)Challenges of Workload Analysis on Large HPC Systems: A Case Study on NCSA Blue Waters., , , , , , , , , and 5 other author(s). PEARC, page 6:1-6:8. ACM, (2017)Automatic Characterization of HPC Job Parallel Filesystem I/O Patterns., , , , , and . PEARC, page 3:1-3:8. ACM, (2018)Application kernels: HPC resources performance monitoring and variance analysis., , , , , , , and . Concurr. Comput. Pract. Exp., 27 (17): 5238-5260 (2015)Performance Optimization of the Open XDMoD Datawarehouse., , , , , and . PEARC, page 4:1-4:7. ACM, (2022)A Workload Analysis of NSF's Innovative HPC Resources Using XDMoD., , , , , , , and . CoRR, (2018)