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Kirchhoff叠前时间偏移的GPU移植与性能优化技术.docx

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Kirchhoff叠前时间偏移的GPU移植与性能优化技术 Title:GPUPortingandPerformanceOptimizationTechniquesforKirchhoffPre-stackTimeMigration Abstract: TheKirchhoffpre-stacktimemigrationalgorithmiswidelyusedinthefieldofseismicdataprocessingforimagingsubsurfacestructures.Withtheincreasingdemandsforfasterandmoreaccurateseismicimaging,itisnecessarytoexploreefficienttechniquesforportingandoptimizingtheKirchhoffalgorithmontographicsprocessingunits(GPUs).ThispaperaimstodiscusstheGPUportingprocessandperformanceoptimizationtechniquesforKirchhoffpre-stacktimemigration. Introduction: Seismicimagingplaysacrucialroleintheexplorationandproductionofoilandgasreservoirs.Kirchhoffpre-stacktimemigrationisapowerfulalgorithmusedtoaccuratelylocatesubsurfacegeologicalstructures.However,theincreasingsizeandcomplexityofseismicdatahaveledtolongerprocessingtimes,limitingreal-timedecisionmaking.Toovercomethislimitation,GPUaccelerationofferssignificantpotentialduetoitsparallelprocessingcapabilities. GPUPortingProcess: PortingtheKirchhoffpre-stacktimemigrationalgorithmontoGPUsrequirescarefulconsiderationofthealgorithm'scharacteristicsandthearchitectureofmodernGPUs.Theportingprocessinvolvesthefollowingsteps: 1.ProblemDecomposition:UnderstandthedatadependenciesandparallelismavailableintheKirchhoffalgorithm.IdentifyindependentcomputationtasksthatcanbeexecutedconcurrentlyontheGPU. 2.MemoryManagement:AnalyzethememoryrequirementsofthealgorithmandexploitGPUmemoryhierarchyforefficientdatatransfers.Utilizesharedmemoryfordatareuseandminimizeglobalmemoryaccesses. 3.AlgorithmMapping:MapthesequentialoperationsoftheKirchhoffalgorithmontoparallelGPUkernels.DesignefficientthreadandblockconfigurationstofullyutilizetheGPUresources. 4.BoundaryHandling:Implementappropriateboundaryhandlingtechniquestoensurecorrectresults.Dealwithghostregions,edgeeffects,anddatadependenciesacrossadjacentdatablocks. PerformanceOptimizationTechniques: OncetheKirchhoffpre-stacktimemigrationalgorithmissuccessfullyportedontoGPUs,performanceoptimizationtechniquesc