CudaProgrammingGuide,aclicktounlimitedpossibilitiesReporter:1
Catalogue01IntroductiontoCUDA02CUDAProgrammingBasicsCUDAKernelDesign03CUDAParallelAlgorithms042
IntroductiontoCUDAPartOne3
CUDAarchitecturefundamentalsCUDAisaparallelcomputingplatformandprogrammingmodelcreatedbyNVIDIA,allowingdeveloperstouseC,C++,andotherlanguagestoleveragethepowerofNVIDIAGPUsforgeneralpurposeprocessing.OverviewofCUDAtechnology4
CUDAenablesdeveloperstoacceleratecompute-intensivepartsoftheirapplicationsbyharnessingthepowerofNVIDIAGPUs,resultinginsignificantperformancegainsovertraditionalCPU-onlysolutions.OverviewofCUDAtechnologyCUDAprogrammingadvantages5
OverviewofCUDAtechnologyCUDAiswidelyusedinvariousfieldssuchasscientificresearch,deeplearning,andgraphicsrendering,whereitprovidesthecomputationalpowernecessaryforcomplexsimulationsanddataprocessingtasks.CUDAusecasesandapplications6
ApplicationscenariosofCUDACUDAiswidelyusedinhigh-performancecomputingscenarios,suchasscientificsimulations,deeplearning,andbigdataanalytics,toacceleratecomputations.High-performancecomputing7
ApplicationscenariosofCUDACUDAenablesefficientgraphicsprocessing,allowingdeveloperstocreateadvancedvisualeffectsandreal-timerenderingingamingandprofessionalvisualizationapplications.Graphicsprocessing8
ApplicationscenariosofCUDAParallelalgorithmdevelopmentCUDAprovidesaplatformfordevelopingparallelalgorithms,whichcanbeappliedinvariousfieldslikecryptography,financialmodeling,andcomputationalbiology.9
CUDAProgrammingBasicsPartTwo10
CUDAprogramstructureCUDAarchitectureconsistsofhost(CPU)anddevices(GPUs).LearnhowtostructurecodetoleveragetheparallelprocessingcapabilitiesofGPUs.UnderstandingCUDAarchitecture01KernelsarefunctionsthatrunontheGPU.Understandhowtowriteandlaunchkernelstoperformparallel