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Performance portability of an intermediate-complexity atmospheric research model in coarray Fortran.

, , , and . PAW@SC, page 4:1-4:4. ACM, (2017)

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uMMAP-IO: User-Level Memory-Mapped I/O for HPC., , , , , , and . HiPC, page 363-372. IEEE, (2019)Quantifying Uncertainty in Source Term Estimation with Tensorflow Probability.. UrgentHPC@SC, page 1-6. IEEE, (2019)AITuning: Machine Learning-Based Tuning Tool for Run-Time Communication Libraries., and . PARCO, volume 36 of Advances in Parallel Computing, page 409-418. IOS Press, (2019)Incremental caffeination of a terrestrial hydrological modeling framework using Fortran 2018 teams., , and . PAW@SC, page 6:1-6:4. ACM, (2017)Traps, Pitfalls and Misconceptions of Machine Learning applied to Scientific Disciplines., and . PEARC, page 75:1-75:8. ACM, (2019)Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms., , and . PARCO, volume 25 of Advances in Parallel Computing, page 203-212. IOS Press, (2013)Coarray-based load balancing on heterogeneous and many-core architectures., , and . Parallel Comput., (2017)Persistent coarrays: integrating MPI storage windows in coarray fortran., , , and . EuroMPI, page 3:1-3:8. ACM, (2019)Sparse matrix computations on clusters with GPGPUs., , and . HPCS, page 23-30. IEEE, (2014)Optimizing Communication and Synchronization in CAF Applications., , and . PARCO, volume 32 of Advances in Parallel Computing, page 191-200. IOS Press, (2017)