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• W2185897298 abstract "This paper examines the growing need for a general-purpose Banalytics engine( that can enable next- generation processing platforms to effectively model events, objects, and concepts based on end-user input, and accessible datasets, along with an ability to iteratively refine the model in real-time. We find such processing needs at the heart of many emerging applications and services. This processing is further decomposed in terms of an integration of three fundamental compute capabilitiesVrecognition, mining, and synthesis (RMS). The set of RMS workloads is examined next in terms of usage, mathematical models, numerical algorithms, and un- derlying data structures. Our analysis suggests a workload convergence that is analyzed next for its platform implications. In summary, a diverse set of emerging RMS applications from market segments like graphics, gaming, media-mining, un- structured information management, financial analytics, and interactive virtual communities presents a relatively focused, highly overlapping set of common platform challenges. A general-purpose processing platform designed to address these challenges has the potential for significantly enhancing users' experience and programmer productivity." @default.
• W2185897298 created "2016-06-24" @default.
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• W2185897298 date "2008-01-01" @default.
• W2185897298 modified "2023-09-27" @default.
• W2185897298 title "Convergence of Recognition, Mining, and Synthesis Workloads and Its Implications Future, more powerful, computers should interact with users to assess their needs, locate the data to meet those needs and process the data so it becomes understandable to the user." @default.
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• W2185897298 hasPublicationYear "2008" @default.
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