Publication | Closed Access
CogniServe: Heterogeneous Server Architecture for Large-Scale Recognition
32
Citations
6
References
2011
Year
EngineeringMachine LearningEfficient Recognition ServerComputer ArchitectureMassive Preloaded DatabaseImage ClassificationImage AnalysisData SciencePattern RecognitionPervasive ComputingEmbedded Machine LearningHeterogeneous Server ArchitectureHigh-throughput ComputingVision RecognitionMachine VisionSmart Mobile DevicesComputer EngineeringComputer ScienceMobile ComputingData-intensive ComputingComputer VisionCo-processorsObject RecognitionCloud ComputingBig Data
As smart mobile devices become pervasive, vendors are offering rich features supported by cloud-based servers to enhance the user experience. Such servers implement large-scale computing environments, where target data is compared to a massive preloaded database. CogniServe is a highly efficient recognition server for large-scale recognition that employs a heterogeneous architecture to provide low-power, high-throughput cores, along with application-specific accelerators.
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