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Interactive Weather Simulation and Visualization on a Display Wall with Many-Core Compute Nodes

机译:具有多核计算节点的显示墙上的交互式天气模拟和可视化

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Numerical Weather Prediction models (NWP) used for operational weather forecasting are typically run at predetermined times at a predetermined resolution and a fixed geographical region. The period between each run is a function of waiting for observational data and the availability of compute resources. The resolution is a function of the geographical region, the available processing power and operational forecasting time constraints. The geographical region is defined by being a region with known need or interest for forecasts. These characteristics make it hard to interactively produce and visualize on-demand high-resolution forecasts for a small and arbitrarily located region. This paper documents a system achieving this, using a high-resolution tiled 22 mega pixel display wall, a 16 node PC cluster and a HP BL 460c blade server with two quad core processors. We document the performance characteristics experimentally. The results show that using 10 km resolution background data, the system produces a 6 hour forecast for a 117 x 123 km small region with 3 km resolution, in 3 minutes. Visualizing the forecast takes between 3-75 seconds. An informal survey among operational forecasters indicate that the majority is willing to wait up to 3 minutes for higher resolution forecasts. This paper identifies and documents some of the bottlenecks and computational challenges created by combining interactivity and traditional batch oriented computing. The main bottlenecks in the system are identified as the execution time of the NWP and the preparation of data for visualization.
机译:用于运行天气预报的数字天气预报模型(NWP)通常在预定时间以预定分辨率和固定地理区域运行。每次运行之间的时间间隔取决于等待观测数据和计算资源的可用性。分辨率是地理区域,可用处理能力和操作预测时间限制的函数。地理区域定义为对预测有已知需求或兴趣的区域。这些特征使得很难以交互方式生成和可视化一个较小且任意位置的区域的按需高分辨率预测。本文介绍了一个系统,该系统使用高分辨率的22百万像素平铺显示墙,16节点PC群集和带有两个四核处理器的HP BL 460c刀片服务器。我们通过实验记录了性能特征。结果表明,使用10 km分辨率的背景数据,系统会在3分钟内对3 km分辨率的117 x 123 km小区域产生6小时的预报。可视化预测需要3-75秒。在运营预测人员中进行的一项非正式调查表明,大多数人愿意等待3分钟才能获得更高分辨率的预测。本文确定并记录了将交互性和传统的面向批处理的计算相结合所产生的一些瓶颈和计算挑战。系统中的主要瓶颈被确定为NWP的执行时间和可视化数据的准备。

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