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Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales.

, , , , , , and . IEEE Trans. Parallel Distributed Syst., 28 (10): 2881-2895 (2017)

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Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales., , , , , and . SC, page 895-906. IEEE Computer Society, (2014)Achieving algorithmic resilience for temporal integration through spectral deferred corrections., , , and . CoRR, (2015)Scalar gradient statistics for regime independent modeling, , and . 16th SIAM International Conference on Numerical Combustion, Orlando, FL, (April 2017)Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights., , , and . Comput. Stat., 31 (4): 1305-1325 (2016)Characterization and modeling of PIDX parallel I/O for performance optimization., , , , , , , , , and 3 other author(s). SC, page 67:1-67:12. ACM, (2013)Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty., , and . CoRR, (2023)Local recovery and failure masking for stencil-based applications at extreme scales., , , , , , and . SC, page 70:1-70:12. ACM, (2015)Exploring Failure Recovery for Stencil-based Applications at Extreme Scales., , , , , , and . HPDC, page 279-282. ACM, (2015)Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows., , , , , , , , , and 2 other author(s). IPDPS, page 1033-1042. IEEE Computer Society, (2015)Using feature importance metrics to detect events of interest in scientific computing applications., , , , , , and . LDAV, page 55-63. IEEE Computer Society, (2017)