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PARALLEL ITERATOR FOR MACHINE LEARNING FRAMEWORKS

机译:机器学习框架的并行迭代器

摘要

A request to retrieve data from a memory device of a memory sub-system can be received from a machine learning (ML) framework executing on a host system, where the data comprises a plurality of logical partitions. A set of parallel I/O threads can be initiated to retrieve the data from the memory device, where each I/O thread of the set of parallel I/O threads retrieves a different portion of the data from a different corresponding logical partition and stores the different portion of the data in a I/O buffer of a set of I/O buffers corresponding to the set of I/O threads in parallel. The different portion of the data can be successively provided from each I/O buffer to the ML framework, where the set of parallel I/O threads is to continually retrieve the data from the memory device until all of the data from the logical partitions has been provided to the ML framework.
机译:可以从在主机系统上执行的机器学习(ML)框架,从执行存储器子系统的存储器设备检索数据的请求,其中数据包括多个逻辑分区。可以启动一组并行I / O线程以从存储器设备检索数据,其中该组的并行I / O线程的每个I / O线程从不同的相应逻辑分区和存储中检索数据的不同部分一组I / O缓冲器中的数据中的数据的不同部分,其对应于一组I / O线程。可以从每个I / O缓冲区上连续向ML框架中连续提供数据的不同部分,其中并行I / O线程集是连续地从存储器设备检索数据,直到逻辑分区的所有数据都具有已提供给ML框架。

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