SYSTEM AND METHOD FOR OPTIMIZING PERFORMANCE OF A SOLID-STATE DRIVE USING A DEEP NEURAL NETWORK

    公开(公告)号:US20190317901A1

    公开(公告)日:2019-10-17

    申请号:US16012470

    申请日:2018-06-19

    Abstract: A controller of a data storage device includes: a host interface providing an interface to a host computer; a flash translation layer (FTL) translating a logical block address (LBA) to a physical block address (PBA) associated with an input/output (I/O) request; a flash interface providing an interface to flash media to access data stored on the flash media; and one or more deep neural network (DNN) modules for predicting an I/O access pattern of the host computer. The one or more DNN modules provide one or more prediction outputs to the FTL that are associated with one or more past I/O requests and a current I/O request received from the host computer, and the one or more prediction outputs include at least one predicted I/O request following the current I/O request. The FTL prefetches data stored in the flash media that is associated with the at least one predicted I/O request.

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