Theoretical time evolution of numerical errors when using floating point numbers in shallow‐water models
暂无分享，去创建一个
[1] Renate Hagedorn,et al. Toward a new generation of world climate research and computing facilities , 2010 .
[2] Hirofumi Tomita,et al. Single Precision in the Dynamical Core of a Nonhydrostatic Global Atmospheric Model: Evaluation Using a Baroclinic Wave Test Case , 2018 .
[3] Peter D. Düben,et al. Rounding errors may be beneficial for simulations of atmospheric flow: results from the forced 1D Burgers equation , 2015 .
[4] John Shalf,et al. Exascale Computing Trends: Adjusting to the "New Normal"' for Computer Architecture , 2013, Computing in Science & Engineering.
[5] H. Kuo. Dynamics of Quasigeostrophic Flows and Instability Theory , 1973 .
[6] Lingamneni Avinash,et al. Energy parsimonious circuit design through probabilistic pruning , 2011, 2011 Design, Automation & Test in Europe.
[7] Takateru Yamagishi,et al. GPU Acceleration of a Non-hydrostatic Ocean Model with a Multigrid Poisson/Helmholtz Solver , 2016, ICCS.
[8] Peter D. Düben,et al. Single Precision in Weather Forecasting Models: An Evaluation with the IFS , 2017 .
[9] Peter D. Düben,et al. Benchmark Tests for Numerical Weather Forecasts on Inexact Hardware , 2014 .
[10] Antonio J. Busalacchi,et al. An Earth-system prediction initiative for the twenty-first century , 2010 .
[11] Chao Yang,et al. Solving the Global Atmospheric Equations through Heterogeneous Reconfigurable Platforms , 2015, TRETS.