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公开(公告)号:US11308383B2
公开(公告)日:2022-04-19
申请号:US15594439
申请日:2017-05-12
Inventor: Farnood Merrikh Bayat , Xinjie Guo , Dmitri Strukov , Nhan Do , Hieu Van Tran , Vipin Tiwari , Mark Reiten
Abstract: An artificial neural network device that utilizes one or more non-volatile memory arrays as the synapses. The synapses are configured to receive inputs and to generate therefrom outputs. Neurons are configured to receive the outputs. The synapses include a plurality of memory cells, wherein each of the memory cells includes spaced apart source and drain regions formed in a semiconductor substrate with a channel region extending there between, a floating gate disposed over and insulated from a first portion of the channel region and a non-floating gate disposed over and insulated from a second portion of the channel region. Each of the plurality of memory cells is configured to store a weight value corresponding to a number of electrons on the floating gate. The plurality of memory cells are configured to multiply the inputs by the stored weight values to generate the outputs.
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公开(公告)号:US11270771B2
公开(公告)日:2022-03-08
申请号:US16382051
申请日:2019-04-11
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
IPC: G11C11/54 , G11C16/10 , G11C16/04 , G11C16/26 , G06N3/04 , G11C14/00 , G06N3/063 , H01L27/115 , H01L27/11521
Abstract: A neural network device with synapses having memory cells each having source and drain regions in a semiconductor substrate with a channel region extending there between, a floating gate over an entirety of the channel region, and a first gate over the floating gate. First lines each electrically connect together the first gates in one of the memory cell rows, second lines each electrically connect together the source regions in one of the memory cell rows, and third lines each electrically connect together the drain regions in one of the memory cell columns. The synapses are configured to receive a first plurality of inputs as electrical voltages on the first lines or on the second lines, and to provide a first plurality of outputs as electrical currents on the third lines.
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公开(公告)号:US11257555B2
公开(公告)日:2022-02-22
申请号:US17006550
申请日:2020-08-28
Applicant: Silicon Storage Technology, Inc.
Inventor: Guangming Lin , Xiaozhou Qian , Xiao Yan Pi , Vipin Tiwari , Zhenlin Ding
Abstract: The present invention relates to systems and methods for implementing wear leveling in a flash memory device that emulates an EEPROM. The embodiments utilize an index array, which stores an index word for each logical address in the emulated EEPROM. Each bit in each index word is associated with a physical address for a physical word in the emulated EEPROM, and the index word keeps track of which physical word is the current word for a particular logical address. The use of the index word enables a wear leveling algorithm that allows for a programming command to a logical address to result in: (i) skipping the programming operation if the data stored in the current word does not contain a “1” that corresponds to a “0” in the data to be stored, (ii) reprogramming one or more bits of the current word in certain situations, or (iii) shifting to and programming the next physical word in certain situations.
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公开(公告)号:US11188237B2
公开(公告)日:2021-11-30
申请号:US16228313
申请日:2018-12-20
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Vipin Tiwari , Nhan Do
IPC: G06F3/06 , G11C16/28 , G11C7/06 , G11C29/48 , G11C29/02 , G11C29/18 , G06F11/07 , G11C16/04 , G11C16/08 , G11C16/10 , G11C16/26 , G11C16/34 , H01L21/78 , H01L27/11521 , H01L29/423 , G11C29/04 , G11C29/12 , G11C29/44 , H01L23/00
Abstract: Multiple embodiments are disclosed for enhancing security and preventing hacking of a flash memory device. The embodiments prevent malicious actors from hacking a flash memory chip to obtain data that is stored within the chip. The embodiments include the use of fault detection circuits, address scrambling, dummy arrays, password protection, improved manufacturing techniques, and other mechanisms.
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145.
公开(公告)号:US20210264983A1
公开(公告)日:2021-08-26
申请号:US16985147
申请日:2020-08-04
Applicant: Silicon Storage Technology, Inc.
Inventor: Steven Lemke , Hieu Van Tran , Yuri Tkachev , Louisa Schneider , Henry A. Om'Mani , Thuan Vu , Nhan Do , Vipin Tiwari
Abstract: Embodiments for ultra-precise tuning of a selected memory cell are disclosed. The selected memory cell optionally is first programmed using coarse programming and fine programming methods. The selected memory cell then undergoes ultra-precise programming through the programming of an adjacent memory cell. As the adjacent memory cell is programmed, capacitive coupling between the floating gate of the adjacent memory cell and the floating gate of the selected memory cell will cause the voltage of the floating gate of the selected memory cell to increase, but in smaller increments than could be achieved by programming the selected memory cell directly. In this manner, the selected memory cell can be programmed with ultra-precise gradations.
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146.
公开(公告)号:US20210142156A1
公开(公告)日:2021-05-13
申请号:US16751202
申请日:2020-01-23
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
IPC: G06N3/063 , G06N3/04 , G06F17/16 , G11C16/04 , G11C16/10 , G11C16/14 , G11C16/34 , G11C16/26 , G11C11/56
Abstract: Numerous embodiments of a precision programming algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.
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147.
公开(公告)号:US20210089875A1
公开(公告)日:2021-03-25
申请号:US16576533
申请日:2019-09-19
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
Abstract: Numerous embodiments of a precision tuning algorithm and apparatus are disclosed for precisely and quickly depositing the correct amount of charge on the floating gate of a non-volatile memory cell within a vector-by-matrix multiplication (VMM) array in an artificial neural network. Selected cells thereby can be programmed with extreme precision to hold one of N different values.
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公开(公告)号:US10956814B2
公开(公告)日:2021-03-23
申请号:US16182237
申请日:2018-11-06
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Vipin Tiwari , Mark Reiten , Nhan Do
Abstract: Numerous embodiments are disclosed for a configurable hardware system for use in an analog neural memory system for a deep learning neural network. The components within the configurable hardware system that are configurable can include vector-by-matrix multiplication arrays, summer circuits, activation circuits, inputs, reference devices, neurons, and testing circuits. These devices can be configured to provide various layers or vector-by-matrix multiplication arrays of various sizes, such that the same hardware can be used in analog neural memory systems with different requirements.
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公开(公告)号:US10748630B2
公开(公告)日:2020-08-18
申请号:US15826345
申请日:2017-11-29
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Vipin Tiwari , Nhan Do , Steven Lemke , Santosh Hariharan , Stanley Hong
Abstract: An artificial neural network device that utilizes analog neuromorphic memory that comprises one or more non-volatile memory arrays. The embodiments comprise improved mechanisms and algorithms for tuning the non-volatile memory arrays such that the floating gates of the memory cells can be quickly and accurately injected with the desired amount of charge to signify an analog value utilized as a weight by the artificial neural network.
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150.
公开(公告)号:US20200243139A1
公开(公告)日:2020-07-30
申请号:US16382060
申请日:2019-04-11
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
Abstract: A memory device includes a plurality of memory cells and a controller. The controller is configured to program each of the memory cells to one of a plurality of program states, and to read the memory cells using a read operation of applied voltages to the memory cells. During the read operation, separations between adjacent ones of the program states vary based on frequencies of use of the program states in the plurality of memory cells.
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