Benchmark Tests for Numerical Weather Forecasts on Inexact Hardware
A reduction of computational cost would allow higher resolution in numerical weather predictions within the same budget for computation. This paper investigates two approaches that promise significant savings in computational cost: the use of reduced precision hardware, which reduces floating point...
المؤلفون الرئيسيون: | Dueben, P, Palmer, T |
---|---|
التنسيق: | Journal article |
اللغة: | English |
منشور في: |
American Meteorological Society
2014
|
مواد مشابهة
-
On the use of inexact, pruned hardware in atmospheric modelling.
حسب: Düben, P, وآخرون
منشور في: (2014) -
Machine learning emulation of gravity wave drag in numerical weather forecasting
حسب: Chantry, M, وآخرون
منشور في: (2021) -
WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
حسب: Stephan Rasp, وآخرون
منشور في: (2020-11-01) -
Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting
حسب: Matthew Chantry, وآخرون
منشور في: (2021-07-01) -
An approach to secure weather and climate models against hardware faults
حسب: Dueben, P, وآخرون
منشور في: (2017)