"...theperfectcompaniontoProgrammingMassivelyParallelProcessorsbyHwu&Kirk."(NicolasPinto,ResearchScientistatHarvard&MIT,NVIDIAFellow2009-2010).GraphicsProcessingUnits(GPUs)aredesignedtobeparallel-havinghundredsofcoresversustraditionalCPUs.Increasingly,youcanleverageGPUpowerformanycomputationally-intenseapplications-notjustforgraphics.Ifyou'refacingthechallengeofprogrammingsystemstoeffectivelyusethesemassivelyparallelprocessorstoachieveefficiencyandperformancegoals,"GPUComputingGems"providesawealthoftested,provenGPUtechniques.Differentapplicationdomainsoftenposesimilaralgorithmproblems,andresearchersfromdiverseapplicationdomainsoftendevelopsimilaralgorithmicstrategies."GPUComputingGems"offersdevelopersawindowintodiverseapplicationareas,andtheopportunitytogaininsightsfromothers'algorithmworkthattheymayapplytotheirownprojects.Learnfromtheleadingresearchersinparallelprogramming,whohavegatheredtheirsolutionsandexperienceinonevolumeundertheguidanceofexpertareaeditors.Eachchapteriswrittentobeaccessibletoresearchersfromotherdomains,allowingknowledgetocross-pollinateacrosstheGPUspectrum."GPUComputingGems:EmeraldEdition"isthefirstvolumeinMorganKaufmann's"ApplicationsofGPUComputingSeries",offeringthelatestinsightsandresearchincomputervision,electronicdesignautomation,emergingdata-intensiveapplications,lifesciences,medicalimaging,raytracingandrendering,scientificsimulation,signalandaudioprocessing,statisticalmodeling,videoandimageprocessing.Itcoversthebreadthofindustryfromscientificsimulationandelectronicdesignautomationtoaudio/videoprocessing,medicalimaging,computervision,andmore.ItincludesmanyexamplesthatleverageNVIDIA'sCUDAparallelcomputingarchitecture,themostwidely-adoptedmassivelyparallelprogrammingsolution.Itoffersinsightsandideasaswellaspractical'hands-on'skillsyoucanimmediatelyputtouse.
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