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GPUdb
GPUdb is an in-memory database that uses a distributed rendering pipeline of many core devices (mainly graphics processing units (GPUs)), to process large amounts of data. GPUdb has SQL-style query capability that enable users to calculate analytics on high velocity, streaming datasets and visualize results with sub-second response time. GPUdb dynamically allocates data between GPU VRAM, system RAM, and flash and disk persistence. Originally designed as a geospatial and temporal computational engine for the United States Army Intelligence and Security Command (INSCOM) at Fort Belvoir, GPUdb evolved into a full enterprise database in 2012 and was commercially available to the public in 2014 by GIS Federal. GPUdb is an object store that allows users to define any number of Sets, and populate these Sets with objects. A Set is analogous to a traditional database table where each column (GPUdb Set Attribute) can be one of the following types: int, long, float, double, or string. GPUdb then allows the user to perform calculations against those Sets. GPUdb also includes a number of GPU accelerated geospatial and temporal functions that can be performed on any Set.〔(【引用サイトリンク】url=http://www.gpudb.com )〕 ==Many core devices==
GPUdb leverages many-core devices and supports NVIDIA GPUs and Xeon Phi many-core devices.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「GPUdb」の詳細全文を読む
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