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Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction

, , , , , , , , , , and . The international journal of high performance computing applications, 35 (4): 285-311 (2021)
DOI: 10.1177/1094342021990433

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Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour., , , , and . FCCM, page 171-178. IEEE Computer Society, (2015)The use of imprecise processing to improve accuracy in weather & climate prediction., , and . J. Comput. Physics, (2014)Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures., , , , and . Comput. Phys. Commun., (2017)Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction, , , , , , , , , and 1 other author(s). The International Journal of High Performance Computing Applications, 35 (4): 285-311 (February 2021)Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction, , , , , , , , , and 1 other author(s). The international journal of high performance computing applications, 35 (4): 285-311 (2021)Lower precision for higher accuracy: Precision and resolution exploration for shallow water equations., , , , , and . FPT, page 208-211. IEEE, (2015)Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction, , , , , , , , , and 1 other author(s). The international journal of high performance computing applications, 35 (4): 285-311 (2021)Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications., , , , , , , and . DATE, page 764-769. ACM, (2015)Accelerating High-Resolution Weather Models with Deep-Learning Hardware., , , and . PASC, page 1:1-1:11. ACM, (2019)A discontinuous/continuous low order finite element shallow water model on the sphere., , and . J. Comput. Physics, 231 (6): 2396-2413 (2012)