基于云计算与并行计算的水利工程数值模拟优化

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中图分类号：TV222 文献标志码：A 文章编号：2095-2945（2026）08-0032-04

Abstract：Hydraulicengineering numerical simulation playsapivotalroleinareassuchasfloodcontroland waterresource management，yettraditionalmethodsfacesignificantchallengesduetolargecomputationaldemandsandloweficiency.To overcomethesebotlenecks，thispaperthoroughlyinvestigatestheoptimizedapplicationofcoudcomputingandparalelcomputing technologiesinhydraulicengineeringnumericalsimulation.Wedesignandimplementahigh-performancenumericalsimulation systembasedonacloudplatform，proposingthreecoreinovativealgoriths：aload-balancedadaptivetaskschedulingalgorithm basedondplearingprediction，whichdynamicallymonitorsnodeloadsandinteligentlyoptimizestaskalocationtoffectively enhanceesourceutilization；aGU-acceleratedheterogeneousparallomputingstrateg，significantlyacceleratingodelsolving throughCUDApalelzationofcorecomputationalmodulesandoptimizaionofCPU-GPUcollaborativemechanisms；anda predictiveanalysis-basedelasticresourceschedulingstrategy，achievingproactiveresourcescalingandeficientfaultrecovery. Experimentalresultsdemonstratethatthesystemachievesan89.2xspeedupand69.5%paralelefciencyina128-core configuration，showingsignificantperformanceimprovementcomparedtotraditionalmethods.Furthermore，thepredictiveelastic schedulingexhibitsexcelentcost-efectivenessacrossvariousloadscenarios，andthesystem'saveragefaultrecoverytimeis reduced by 68% .Thisstudy providesan eficientandreliablenumerical simulationsolution for thedevelopment of smart water conservancy.

Keywords： numerical simulation; load-balanced; GPU acceleration;elastic scheduling；cloud computing

水利工程作为国民经济和社会发展的重要基础设施，在防洪抗旱、水资源配置、水生态环境保护等方面发挥着不可替代的作用。（剩余4142字）