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Virtual Rheoscopic Fluid for Large Dynamics Visualization.

, , and . SC Companion, page 1581. IEEE Computer Society, (2012)

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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)Simulation of Non-Newtonian Fluids on Workstation Clusters. The University of Texas at Austin, (2004)Understanding Application and System Performance Through System-Wide Monitoring., , and . IPDPS Workshops, page 1702-1710. IEEE Computer Society, (2016)Best practices for the deployment and management of production HPC clusters., , , and . SC State of the Practice Reports, page 9:1-9:11. ACM, (2011)Tales from the trenches: can user support tools make a difference?, , , , , , , and . HUST@SC, page 2:1-2:11. ACM, (2015)Quantifying performance benefits of overlap using MPI-2 in a seismic modeling application., , , , , , , , , and . ICS, page 17-25. ACM, (2010)Enabling comprehensive data-driven system management for large computational facilities., , , , , , , , , and 1 other author(s). SC, page 86:1-86:11. ACM, (2013)A User-Friendly Approach for Tuning Parallel File Operations., , , , and . SC, page 229-236. IEEE Computer Society, (2014)Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis., , , , , , , , and . HiPC, page 317-327. IEEE Computer Society, (2017)Virtual Rheoscopic Fluid for Large Dynamics Visualization., , and . SC Companion, page 1581. IEEE Computer Society, (2012)