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memory DEVICE USING UNSUPERVISED LEARNING SCHEME AND MEMORY MANAGEMENT METHOD THEREOF

The input/output requests of the flash memory device are sampled and classified through an unsupervised learning algorithm to generate a hot data range, which solves the problem of limited accuracy of hot data identification in the existing technology and improves garbage collection efficiency and the life of the storage device.

Active Publication Date: 2021-06-29
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, the memory window for storing the input LBA is limited and therefore the accuracy is limited
As the size of the memory window increases, accuracy can be increased, but at the cost of increased overhead

Method used

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Examples

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Embodiment Construction

[0026] It is to be understood that both the foregoing general description and the following detailed description are provided as examples, and should be considered as providing additional description. Reference numerals will be identified in detail in the various embodiments discussed below, examples of which are illustrated in the accompanying drawings. Wherever practicable, the same or similar reference numbers are used in the drawings and the description to refer to the same or like parts.

[0027] Hereinafter, a storage device using a flash memory device will be exemplified to describe characteristics and functions of various exemplary embodiments. However, other advantages and capabilities of the exemplary embodiments can be readily understood by those skilled in the art from the disclosure herein. Exemplary embodiments may be implemented or applied by other embodiments. In addition, the detailed description may be changed or modified depending on viewpoints and applica...

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PUM

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Abstract

The invention discloses a method which includes sampling input / output requests from a host to generate sampled input / output requests; classifying the sampled input / output requests into clusters using an unsupervised learning algorithm; determining a hot data range based on a characteristic of the clusters; and incorporating the determined hot data range into a hot data table.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS [0002] This application claims the priority of Korean Patent Application No. 10-2019-0175237 filed in the Korean Intellectual Property Office on December 26, 2019, the disclosure of which is incorporated herein by reference in its entirety. Technical Field [0003] Devices, apparatuses, systems, and methods consistent with the present disclosure relate to semiconductor memory devices, and more particularly, to memory devices and memory management methods thereof using an unsupervised learning scheme. Background Art [0004] Flash memory devices are widely used as voice and image data storage media for information devices such as computers, smart phones, personal digital assistants (PDAs), digital cameras, portable cameras, video cameras, MP3 players, and handheld computers. Flash memory devices are becoming more and more versatile as storage devices. Nowadays, semiconductor memory devices with three-dimensional array structures...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F12/02G06F12/06G06F12/0882G06K9/62G06N3/08G11C16/08G11C16/10G11C16/16G11C16/26
CPCG06F12/0246G06F12/0646G06F12/0882G11C16/08G11C16/10G11C16/16G11C16/26G06N3/088G06F18/24G06F3/0649G06F3/0679G06F3/061G06F2212/7205G06F2212/7201G06F2212/7203G06F2212/1032G06F2212/1008G06F2212/1016G06N20/00G06N7/01G06F12/0253G06F3/0631G06F3/0611G06F3/0659G06F3/064
Owner SAMSUNG ELECTRONICS CO LTD