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The Outer Rim Simulation: A Path to Many-Core Supercomputers

, , , , , , , , , , , , and . (2019)cite arxiv:1904.11970Comment: 10 pages, 10 figures. Submitted to ApJS. The Outer Rim data products can be accessed here: https://cosmology.alcf.anl.gov/.

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The Outer Rim Simulation: A Path to Many-Core Supercomputers, , , , , , , , , and 3 other author(s). (2019)cite arxiv:1904.11970Comment: 10 pages, 10 figures. Submitted to ApJS. The Outer Rim data products can be accessed here: https://cosmology.alcf.anl.gov/.Characterization and Understanding Machine-Specific Interconnects., , , , and . PaCT, volume 7979 of Lecture Notes in Computer Science, page 90-104. Springer, (2013)Benchmarking Machine Learning Methods for Performance Modeling of Scientific Applications., , , , and . PMBS@SC, page 33-44. IEEE, (2018)Theory-Software Translation: Research Challenges and Future Directions., , , , , , , , , and 3 other author(s). CoRR, (2019)SKOPE: a framework for modeling and exploring workload behavior., , , , , and . Conf. Computing Frontiers, page 6:1-6:10. ACM, (2014)Tightly Coupled Atomistic-Continuum Simulations of Brain Blood Flow on Petaflop Supercomputers., , , , , and . Comput. Sci. Eng., 14 (6): 58-67 (2012)Run-to-run variability on Xeon Phi based cray XC systems., , , , , , and . SC, page 52. ACM, (2017)Dataflow-driven GPU performance projection for multi-kernel transformations., , , and . SC, page 82. IEEE/ACM, (2012)A new computational paradigm in multiscale simulations: application to brain blood flow., , , , , , and . SC, page 5:1-5:5. ACM, (2011)Analytically Modeling Application Execution for Software-Hardware Co-design., , , , and . IPDPS, page 468-477. IEEE Computer Society, (2014)