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PARALLEL RETRIEVAL OF TRAINING DATA FROM MULTIPLE PRODUCERS FOR MACHINE LEARNING SYSTEMS
PARALLEL RETRIEVAL OF TRAINING DATA FROM MULTIPLE PRODUCERS FOR MACHINE LEARNING SYSTEMS
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机译:从机器学习系统的多个生产者那里并行检索训练数据
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摘要
A sorting engine is an intermediary layer between a multi-threaded engine that obtains batches of training data from the producers in parallel and the underlying machine learning engine. The sorting engine includes a shared buffer that has various slots for storing batches of training data, where the slots are organized in a deterministic order associated with the producers. A batch of training data obtained by a thread from a given producer may be stored only in a corresponding slot in the shared buffer. Further, the sorting engine transmits the batch to the machine learning engine only when a previous batch in the deterministic order has been transmitted from the shared buffer to the machine learning engine.
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