Parallel Processing in Water Management

水电能源科学 Pub Date : 1990-03-01 DOI:10.1080/07900629008722447

G. McMahon

引用次数: 0

Abstract

The introduction of parallel processing as an alternative to super-computing provides opportunities for rapid numerical integration of equations describing open-channel hydrodynamics. Parallel routing models can enhance the capabilities of deterministic watershed response models while increasing computational speed, provided these models employ cellular processors and efficient processor-management techniques. One-dimensional, open-channel conceptual cellular analogues of discretized hydrodynamic systems are illustrated, adapting existing finite-difference approaches. Cell programming can be extended to include hydrology and operations of water-control structures. Hybrid computer systems may be economically tailored in the future to specific water management applications.

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水管理中的并行处理

引入并行处理作为超级计算的替代方案，为描述明渠流体动力学的方程的快速数值积分提供了机会。并行路由模型可以增强确定性分水岭响应模型的能力，同时提高计算速度，前提是这些模型采用蜂窝处理器和高效的处理器管理技术。一维，开放通道的概念细胞模拟离散水动力系统，采用现有的有限差分方法。细胞编程可以扩展到包括水文学和水控制结构的操作。混合计算机系统将来可能会经济地适应具体的水管理应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

水电能源科学水电能源领域

自引率

0.00%

发文量

10541

期刊介绍： Water Resources and Power is sponsored by China Society of Hydropower Engineering and Huazhong University of Science and Technology, and hosted by School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, and supervised by the Ministry of Education. Selected as Chinese core journals in 1994, 2008, 2011, 2014, 2017, 2020, 2023 (i.e., Overview of Chinese Core Journals of Peking University Library); Successively selected as the core journal of Science and Technology of China and RCCSE authoritative core academic journal of Wuhan University; Selected into the 2019, 2021, 2022 edition of China's high-quality science and technology journals water conservancy T1 journals; It has been included in 13 databases and abstracts. Water Resources and Power has been included in 14 databases or abstracts: China Science and Technology Papers and Citation Database (CSTPCD); China Journal Full-Text Database (CJFD); Cnki (Comprehensive evaluation database of Chinese academic journals); Wanfang Data (China Core Journal (Selection) Database); Weipu Journal Network (Chinese science and technology journal database); Superstar Journal Network; Chutian Excellent Journal Network; Chinese academic journal abstracts; National Press Index (Natural Science and Technology edition); Scientific Abstracts (INSPEC); Russian Journal of Abstracts; Japan Science and Technology Literature Express (JST).