整合影响模型和部门的并行系统(pSIMS)

J. Elliott, David Kelly, N. Best, M. Wilde, M. Glotter, Ian T Foster
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引用次数: 136

摘要

我们提出了一个农业和林业气候影响模型大规模并行模拟的框架:影响模型和部门并行集成系统(pSIMS)。该框架包括a)用于从各种来源摄取大量数据并将其标准化为通用且紧凑的数据类型的工具;B)将这种标准数据类型转换为农业和林业基于点的影响模型所需的自定义格式的工具;C)一个可扩展的并行框架,用于在各种计算机系统上执行大型集成模拟,从小型本地集群到超级计算机,甚至分布式网格和云;D)用于重新格式化输出以方便分析和可视化的工具和数据标准;d)将模拟措施聚合到任意空间尺度的方法和工具,如行政区域(县、州、国家)或相关的环境划界,如流域和河流流域。我们介绍了该框架的技术要素,以及一个气候影响评估和验证示例的结果,该示例涉及XSEDE上的大型并行计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The parallel system for integrating impact models and sectors (pSIMS)
We present a framework for massively parallel simulations of climate impact models in agriculture and forestry: the parallel System for Integrating Impact Models and Sectors (pSIMS). This framework comprises a) tools for ingesting large amounts of data from various sources and standardizing them to a versatile and compact data type; b) tools for translating this standard data type into the custom formats required for point-based impact models in agriculture and forestry; c) a scalable parallel framework for performing large ensemble simulations on various computer systems, from small local clusters to supercomputers and even distributed grids and clouds; d) tools and data standards for reformatting outputs for easy analysis and visualization; and d) a methodology and tools for aggregating simulated measures to arbitrary spatial scales such as administrative districts (counties, states, nations) or relevant environmental demarcations such as watersheds and river-basins. We present the technical elements of this framework and the results of an example climate impact assessment and validation exercise that involved large parallel computations on XSEDE.
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