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GPU并行优化技术在水利计算中的应用综述

覃金帛 曾志强 梁藉 杨明祥 张健

计算机工程与应用2018,Vol.54Issue(3):23-29,63,8.
计算机工程与应用2018,Vol.54Issue(3):23-29,63,8.DOI:10.3778/j.issn.1002-8331.1711-0336

GPU并行优化技术在水利计算中的应用综述

Review of application GPU technology in hydraulic parallel optimi-zation calculation

覃金帛 1曾志强 1梁藉 2杨明祥 1张健2

作者信息

  • 1. 华中科技大学 水电与数字化工程学院,武汉 430074
  • 2. 中国水利水电科学研究院 流域水循环模拟与调控国家重点实验室,北京 100038
  • 折叠

摘要

Abstract

Water conservancy calculation is the basis of water conservancy planning, design and operation. Improving the efficiency of water conservancy calculation is of great practical significance for water informatization and water resources management. The technical comparison shows that GPU(Graphics Processing Unit)parallel optimization technology is a cost-effective speed-up strategy. This paper systematically summarizes the application progress of GPU parallel optimization in water conservancy calculation, briefly introduces several parallel techniques currently used in the proposed calculation;constructively puts forward the application prospects and advantages of this technology in reservoir scheduling, mid-and-long term hydrologic forecasting and hydrological model calculation; summarizes the general methods with the application of this technology and provides guidance for technology promotion. Finally, from the perspective of discipline development and application demand, the difficulties and future trends of technology application are pointed out, in order to provide reference for the application of GPU parallel optimization technology in water conservancy calculation.

关键词

水利计算/GPU/并行计算/水动力模拟/智慧水务/深度学习/大数据

Key words

water conservancy calculation/Graphics Processing Unit(GPU)/parallel computing/hydrodynamic simula-tion/wisdom water/depth learning/big data

分类

信息技术与安全科学

引用本文复制引用

覃金帛,曾志强,梁藉,杨明祥,张健..GPU并行优化技术在水利计算中的应用综述[J].计算机工程与应用,2018,54(3):23-29,63,8.

基金项目

北京市智慧水务综合管理平台研究与建设项目(No.2017ZX07104) (No.2017ZX07104)

国家自然科学基金青年基金(No.51709271)" (No.51709271)

十三五"国家重点研发计划项目(No.2016YFC0402201-01). (No.2016YFC0402201-01)

计算机工程与应用

OA北大核心CSCDCSTPCD

1002-8331

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