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Resilient computational applications using Coarray Fortran., , , and . Parallel Comput., (2019)Probabilistic forecasting using deep generative models., , , and . GeoInformatica, 25 (1): 127-147 (2021)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)Traps, Pitfalls and Misconceptions of Machine Learning applied to Scientific Disciplines., and . PEARC, page 75:1-75:8. ACM, (2019)Incremental caffeination of a terrestrial hydrological modeling framework using Fortran 2018 teams., , and . PAW@SC, page 6:1-6:4. ACM, (2017)Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms., , and . PARCO, volume 25 of Advances in Parallel Computing, page 203-212. IOS Press, (2013)Probabilistic Forecasting using Deep Generative Models., , , and . CoRR, (2019)Persistent coarrays: integrating MPI storage windows in coarray fortran., , , and . EuroMPI, page 3:1-3:8. ACM, (2019)