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Slurm Simulator: Improving Slurm Scheduler Performance on Large HPC systems by Utilization of Multiple Controllers and Node Sharing.

, , , , , , , and . PEARC, page 25:1-25:8. ACM, (2018)

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A Workload Analysis of NSF's Innovative HPC Resources Using XDMoD., , , , , , , and . CoRR, (2018)Effect of Meltdown and Spectre Patches on the Performance of HPC Applications., , , , , , and . CoRR, (2018)Application kernels: HPC resources performance monitoring and variance analysis., , , , , , , and . Concurrency and Computation: Practice and Experience, 27 (17): 5238-5260 (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)Slurm Simulator: Improving Slurm Scheduler Performance on Large HPC systems by Utilization of Multiple Controllers and Node Sharing., , , , , , , and . PEARC, page 25:1-25:8. ACM, (2018)A Slurm Simulator: Implementation and Parametric Analysis., , , , , , , and . PMBS@SC, volume 10724 of Lecture Notes in Computer Science, page 197-217. Springer, (2017)Modernizing Titan2D, a Parallel AMR Geophysical Flow Code to Support Multiple Rheologies and Extendability., , , , , and . ISC Workshops, volume 11887 of Lecture Notes in Computer Science, page 101-112. Springer, (2019)