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Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations.

, , , , , , and . IEEE Computer Graphics and Applications, 32 (4): 34-45 (2012)

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Visual Analytics for Finding Critical Structures in Massive Time-Varying Turbulent-Flow Simulations., , , , , , and . IEEE Computer Graphics and Applications, 32 (4): 34-45 (2012)Asynchronous finite-difference schemes for partial differential equations., and . J. Comput. Phys., (2014)A unified framework to generate optimized compact finite difference schemes., , and . J. Comput. Phys., (2021)A unified approach for deriving optimal finite differences., , and . J. Comput. Phys., (2019)High-order asynchrony-tolerant finite difference schemes for partial differential equations., and . J. Comput. Phys., (2017)A generalized von Neumann analysis for multi-level schemes: Stability and spectral accuracy., and . J. Comput. Phys., (2021)Massively parallel direct numerical simulations of forced compressible turbulence: a hybrid MPI/OpenMP approach., and . XSEDE, page 23:1-23:8. ACM, (2012)Direct numerical simulations of turbulent flows using high-order asynchrony-tolerant schemes: Accuracy and performance., and . J. Comput. Phys., (2020)Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows., , , , , and . J. Comput. Phys., (March 2023)A unified framework to generate optimized compact finite difference schemes., , and . CoRR, (2019)