- 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 and precision in exchange for improvements in performance and potentially accuracy of forecasts, due to a reduction in power consumption that could allow higher resolution. A similar trade-off is achieved using low precision arithmetic, with improvements in computation and communicatio...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1016/j.jcp.2013.10.042
-
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- Journal:
- JOURNAL OF COMPUTATIONAL PHYSICS
- Volume:
- 271
- Pages:
- 2-18
- Publication date:
- 2014-08-15
- DOI:
- EISSN:
-
1090-2716
- ISSN:
-
0021-9991
- URN:
-
uuid:1efa5a94-daf0-411f-912f-b85ef0f83aac
- Source identifiers:
-
440721
- Local pid:
- pubs:440721
- Copyright date:
- 2014
Journal article
The use of imprecise processing to improve accuracy in weather and climate prediction
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