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High Performance Estuarine and Coastal Environmental Modeling: Part II

机译:高性能河滨和沿海环境建模:第二部分

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As ecosystem management and restoration becomes increasingly more important so does the researcher's reliance on high performance techniques to solve the long-term, fine resolution, dynamically coupled problems of today and tomorrow. Two such techniques, parallelism via shared memory constructs applied to a legacy code and parallelism via message passing applied to a new code, are discussed herein. First, a CH3D-based integrated modeling system (IMS) which includes the major components of a 3D coupled, hydrodynamic, wave, flushing, sediment, water quality and light models has been made parallel using a shared memory approach. Using an Indian River Lagoon grid system (477 x 43 x 4), the integrated hydrodynamics, sediment and water quality models achieved a parallel speedup of 3 when using four processors of an SGI Origin 2000. Second, a new 2D hydrodynamic, wetting and drying model (PEM) has been developed specifically for parallel application. The explicit and semi-implicit versions of the model achieved speedups of 10.5 and 18.6, respectively, when executed on a 20 processor custom built Beowulf Cluster.
机译:随着生态系统的管理和恢复变得越来越重要,研究员依赖高性能技术依赖,以解决长期,精细分辨率,今天和明天的动态耦合问题。这里讨论了两种这样的技术,通过应用于遗留码和并行性的共享存储器构造的并行性通过应用于新代码的消息传递。首先,使用共享的存储方法并行地制定了包括3D耦合,流体动力学,波,冲洗,沉积物,水质和光模型的3D耦合,流体动力学,波,冲洗,沉积物,水质和光模型的基于CH3D的集成建模系统(IMS)。使用印度河泻湖栅格系统(477 x 43 x 4),综合流体动力学,沉积物和水质模型在使用SGI源2000的四个处理器时实现了3的平行加速。第二,新的2D流体动力学,润湿和干燥模型(PEM)是专门用于并行应用的。模型的显式和半隐式版本分别在20个处理器自定义内置Beowulf集群上执行时,分别为10.5和18.6的加速。

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