The use of imprecise processing to improve accuracy in weather & climate prediction

Abstract

The use of stochastic processing hardware and low precision arithmetic in atmospheric models is investigated. Stochastic processors allow hardware-induced faults in calculations, sacrificing bit-reproducibility in exchange for improvements in performance and potentially accuracy and a reduction in power consumption. A similar trade-off is achieved using low… (More)
DOI: 10.1016/j.jcp.2013.10.042
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@article{Dben2014TheUO, title={The use of imprecise processing to improve accuracy in weather & climate prediction}, author={Peter D. D{\"u}ben and Hugh McNamara and Tim N. Palmer}, journal={J. Comput. Physics}, year={2014}, volume={271}, pages={2-18} }