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Enabling comprehensive data-driven system management for large computational facilities., , , , , , , , , and 1 other author(s). SC, page 86:1-86:11. ACM, (2013)Improving Science Gateways usage reporting for XSEDE., , , and . PEARC, page 109:1-109:4. ACM, (2019)Federating XDMoD to Monitor Affiliated Computing Resources., , , , , , , , , and 5 other author(s). CLUSTER, page 580-589. IEEE Computer Society, (2018)Grid-based research, development, and deployment in New York State., , , , and . IPDPS, page 1-8. IEEE, (2008)TAS view of XSEDE users and usage., , , , , , , , , and 4 other author(s). XSEDE, page 21:1-21:8. ACM, (2015)XDMoD Value Analytics: A Tool for Measuring the Financial and Intellectual ROI of Your Campus Cyberinfrastructure Facilities., , , , , , , , and . PEARC, page 49:1-49:7. ACM, (2017)Comparing the performance of clusters, Hadoop, and Active Disks on microarray correlation computations., , , , , and . HiPC, page 378-387. IEEE Computer Society, (2009)Portals for Interactive Steering of HPC Workflows., , , , , , and . HUST/SE-HER/WIHPC@SC, volume 1190 of Communications in Computer and Information Science, page 179-189. Springer, (2019)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)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)