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Performance and portability of accelerated lattice Boltzmann applications with OpenACC.

, , , , and . Concurr. Comput. Pract. Exp., 28 (12): 3485-3502 (2016)

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Massively parallel lattice-Boltzmann codes on large GPU clusters., , , , , and . CoRR, (2017)A non-equilibrium bounce-back boundary condition for thermal multispeed LBM., , and . J. Comput. Sci., (2021)Benchmarking MIC architectures with Monte Carlo simulations of spin glass systems., , , and . HiPC, page 378-385. IEEE Computer Society, (2013)Characteristic boundary condition for thermal lattice Boltzmann methods., , and . Comput. Math. Appl., (2024)Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications., , , and . CoRR, (2018)Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications., , , and . Concurr. Comput. Pract. Exp., (2017)Energy-Efficiency Evaluation of Intel KNL for HPC Workloads., , , and . PARCO, volume 32 of Advances in Parallel Computing, page 733-742. IOS Press, (2017)Performance and portability of accelerated lattice Boltzmann applications with OpenACC., , , , and . Concurr. Comput. Pract. Exp., 28 (12): 3485-3502 (2016)Optimization of lattice Boltzmann simulations on heterogeneous computers., , , and . Int. J. High Perform. Comput. Appl., (2019)Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations., , , , and . PPAM (1), volume 12043 of Lecture Notes in Computer Science, page 187-198. Springer, (2019)