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Data farming : ウィキペディア英語版 | Data farming Data farming is the process of using a high performance computer or computing grid to run a simulation thousands or millions of times across a large parameter and value space. The result of data farming is a “landscape” of output that can be analyzed for trends, anomalies, and insights in multiple parameter dimensions. Data farming uses collaborative processes in combining rapid scenario prototyping, simulation modeling, design of experiments, high performance computing, and analysis and visualization in an iterative (loop-of-loops ). A NATO modeling and simulation task group has documented the data farming process in the (Final Report of MSG-088 ) published in March 2014. ==Origins of the term== The term "data farming" comes from the idea of planting data in the simulation and parameter/value space, and then harvesting the data that results from the simulation runs.
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「Data farming」の詳細全文を読む
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