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Two-Level Main Memory Co-Design: Multi-threaded Algorithmic Primitives, Analysis, and Simulation.

, , , , , , , , , and . IPDPS, page 835-846. IEEE Computer Society, (2015)

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Poster: Assessing the Predictive Capabilities of Mini-applications., , , , , , , , and . SC Companion, page 1333-1334. IEEE Computer Society, (2012)Unprecedented Scalability and Performance of the New NNSA Tri-Lab Linux Capacity Cluster 2., , , , , and . SC Companion, page 417-425. IEEE Computer Society, (2012)Abstract machine models and proxy architectures for exascale computing., , , , , , , , , and 8 other author(s). Co-HPC@SC, page 25-32. IEEE, (2014)Predicting the Effect on Performance of Container-Managed Persistence in a Distributed Enterprise Application., , , , , and . IPDPS, page 1-8. IEEE, (2007)To upgrade or not to upgrade? Catamount vs. Cray Linux Environment., , , , , , , , and . IPDPS Workshops, page 1-8. IEEE, (2010)Optimizing for KNL Usage Modes When Data Doesn't Fit in MCDRAM., , , , and . ICPP, page 37:1-37:10. ACM, (2018)WMTools - Assessing Parallel Application Memory Utilisation at Scale., , , and . EPEW, volume 6977 of Lecture Notes in Computer Science, page 148-162. Springer, (2011)The Potential and Perils of Multi-Level Memory., , , and . MEMSYS, page 191-196. ACM, (2015)Two-Level Main Memory Co-Design: Multi-threaded Algorithmic Primitives, Analysis, and Simulation., , , , , , , , , and . IPDPS, page 835-846. IEEE Computer Society, (2015)(SAI) Stalled, Active and Idle: Characterizing Power and Performance of Large-Scale Dragonfly Networks., , , , , and . CLUSTER, page 50-59. IEEE Computer Society, (2016)