The 2016 ACM Gordon Bell Prize was awarded to a 12-member Chinese team for their research project, “10M-Core Scalable Fully-Implicit Solver for Nonhydrostatic Atmospheric Dynamics.” The winning team presented a solver (method for calculating) atmospheric dynamics.
In the abstract of their presentation, the winning team writes, “On the road to the seamless weather-climate prediction, a major obstacle is the difficulty of dealing with various spatial and temporal scales. The atmosphere contains time-dependent multi-scale dynamics that support a variety of wave motions.”
To simulate the vast number of variables inherent in a weather system developing in the atmosphere, the winning group presents a highly scalable fully implicit solver for three-dimensional nonhydrostatic atmospheric simulations governed by fully compressible Euler equations. Euler equations are a set of equations frequently used to understand fluid dynamics (liquids and gasses in motion).
Winning team members are Chao Yang, Chinese Academy of Sciences; Wei Xue, Haohuan Fu, Lin Gan,Ping Xu, Guangwen Yang, and Weimin Zheng, Tsinghua University; Hongtao You, National Research Center of Parallel Computer Engineering and Technology; Xinliang Wang and Lanning Wang, Beijing Normal University; and Yulong Ao and Fangfang Liu, Chinese Academy of Sciences.