-
公开(公告)号:US11797834B2
公开(公告)日:2023-10-24
申请号:US17885431
申请日:2022-08-10
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Vipin Tiwari , Nhan Do
IPC: G06N3/065 , G11C11/56 , G06F3/06 , G06F17/16 , G06N3/08 , G11C13/00 , G11C16/04 , G11C16/28 , G06N3/048
CPC classification number: G06N3/065 , G06F3/061 , G06F3/0688 , G06F17/16 , G06N3/048 , G06N3/08 , G11C11/5642 , G11C13/004 , G11C16/0425 , G11C16/28 , G11C2211/563 , G11C2213/15
Abstract: Numerous embodiments are disclosed for compensating for differences in the slope of the current-voltage characteristic curve among reference transistors, reference memory cells, and flash memory cells during a read operation in an analog neural memory in a deep learning artificial neural network. In one embodiment, a method comprises receiving a first voltage, multiplying the first voltage by a coefficient to generate a second voltage, applying the first voltage to a gate of one of a reference transistor and a selected memory cell, applying the second voltage to a gate of the other of a reference transistor and a selected memory cell, and using the reference transistor in a sense operation to determine a value stored in the selected memory cell.
-
132.
公开(公告)号:US11729970B2
公开(公告)日:2023-08-15
申请号:US17121555
申请日:2020-12-14
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
IPC: H01L27/11531 , G06N3/08 , G11C16/04 , H01L29/788 , H10B41/42
CPC classification number: H10B41/42 , G06N3/08 , G11C16/0425 , H01L29/7883
Abstract: Numerous embodiments for reading a value stored in a selected memory cell in a vector-by-matrix multiplication (VMM) array in an artificial neural network are disclosed. In one embodiment, an input comprises a set of input bits that result in a series of input pulses applied to a terminal of the selected memory cell, further resulting in a series of output signals that are summed to determine the value stored in the selected memory cell. In another embodiment, an input comprises a set of input bits, where each input bit results in a single pulse or no pulse being applied to a terminal of the selected memory cell, further resulting in a series of output signals which are then weighted according to the binary bit location of the input bit, and where the weighted signals are then summed to determine the value stored in the selected memory cell.
-
133.
公开(公告)号:US20230252265A1
公开(公告)日:2023-08-10
申请号:US18126233
申请日:2023-03-24
Inventor: Farnood Merrikh Bayat , Xinjie Guo , Dmitri Strukov , Nhan Do , Hieu Van Tran , Vipin Tiwari , Mark Reiten
IPC: G06N3/04 , G06N3/063 , G11C11/54 , G11C16/34 , G11C29/38 , G06N3/045 , G11C16/08 , G11C16/12 , G11C16/16 , G06F3/06
CPC classification number: G06N3/04 , G06N3/063 , G11C11/54 , G11C16/3436 , G11C29/38 , G06N3/045 , G11C16/08 , G11C16/12 , G11C16/16 , G06F3/061 , G06F3/0655 , G06F3/0688
Abstract: A method of scanning N×N pixels using a vector-by-matrix multiplication array by (a) associating a filter of M×M pixels adjacent first vertical and horizontal edges, (b) providing values for the pixels associated with different respective rows of the filter to input lines of different respective N input line groups, (c) shifting the filter horizontally by X pixels, (d) providing values for the pixels associated with different respective rows of the horizontally shifted filter to input lines, of different respective N input line groups, which are shifted by X input lines, (e) repeating steps (c) and (d) until a second vertical edge is reached, (f) shifting the filter horizontally to be adjacent the first vertical edge, and shifting the filter vertically by X pixels, (g) repeating steps (b) through (e) for the vertically shifted filter, and (h) repeating steps (f) and (g) until a second horizontal edge is reached.
-
公开(公告)号:US20230223077A1
公开(公告)日:2023-07-13
申请号:US18124334
申请日:2023-03-21
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Vipin Tiwari , Nhan Do , Mark Reiten
IPC: G11C11/54 , H01L29/423 , G11C16/14 , H01L29/788 , G11C16/10 , G11C16/04
CPC classification number: G11C11/54 , H01L29/42324 , G11C16/14 , H01L29/7883 , H01L29/42328 , G11C16/10 , G06N3/045 , H10B41/30 , G11C16/0483
Abstract: A neural network device with synapses having memory cells each having a floating gate and a first gate over first and second portions of a channel region disposed between source and drain regions, and a second gate over the floating gate or the source region. First lines each electrically connect the first gates in one of the memory cell rows, second lines each electrically connect the second gates in one of the memory cell rows, third lines each electrically connect the source regions in one of the memory cell columns, and fourth lines each electrically connect the drain regions in one of the memory cell columns. The synapses receive a first plurality of inputs as electrical voltages on the first or second lines, and provide a first plurality of outputs as electrical currents on the third or fourth lines.
-
公开(公告)号:US11626176B2
公开(公告)日:2023-04-11
申请号:US17571443
申请日:2022-01-07
Applicant: Silicon Storage Technology, Inc.
Inventor: Guangming Lin , Xiaozhou Qian , Xiao Yan Pi , Vipin Tiwari , Zhenlin Ding
Abstract: The present embodiments relate 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. The embodiments comprise a system and method for receiving an erase command and a logical address, the logical address corresponding to a sector of physical words of non-volatile memory cells in an array of non-volatile memory cells, the sector comprising a first physical word, a last physical word, and one or more physical words between the first physical word and the last physical word; when a current word, identified by an index bit, is the last physical word in the sector, erasing the sector; and when the current word is not the last physical word in the sector, changing a next index bit.
-
公开(公告)号:US11521683B2
公开(公告)日:2022-12-06
申请号:US17191392
申请日:2021-03-03
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stanley Hong , Anh Ly , Vipin Tiwari , Nhan Do
IPC: G11C16/04 , G06N3/08 , H01L27/11521 , H01L29/788 , G06N3/04
Abstract: Numerous embodiments are disclosed for a high voltage generation algorithm and system for generating high voltages necessary for a particular programming operation in analog neural memory used in a deep learning artificial neural network. Compensation measures can be utilized that compensate for changes in voltage or current as the number of cells being programmed changes.
-
公开(公告)号:US11521682B2
公开(公告)日:2022-12-06
申请号:US17095661
申请日:2020-11-11
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Steven Lemke , Nhan Do , Vipin Tiwari , Mark Reiten
Abstract: Numerous embodiments are disclosed for providing temperature compensation in an analog memory array. A method and related system are disclosed for compensating for temperature changes in an array of memory cells by measuring an operating temperature within the array of memory cells and changing a threshold voltage of a selected memory cell in the array of memory cells to compensate for a change in the operating temperature.
-
138.
公开(公告)号:US11507816B2
公开(公告)日:2022-11-22
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.
-
公开(公告)号:US20220336020A1
公开(公告)日:2022-10-20
申请号:US17850447
申请日:2022-06-27
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: Examples for ultra-precise tuning of a selected memory cell are disclosed. In one example, a method of programming a first memory cell in a neural memory to a target value is disclosed, the method comprising programming a second memory cell by applying programming voltages to terminals of the second memory cell; and determining if an output of the first memory cell has reached the target value.
-
公开(公告)号:US11443175B2
公开(公告)日:2022-09-13
申请号:US16150606
申请日:2018-10-03
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Vipin Tiwari , Nhan Do
IPC: G06N3/063 , G11C11/56 , G06N3/04 , G06F3/06 , G06F17/16 , G06N3/08 , G11C13/00 , G11C16/04 , G11C16/28
Abstract: Numerous embodiments are disclosed for compensating for differences in the slope of the current-voltage characteristic curve among reference transistors, reference memory cells, and flash memory cells during a read operation in an analog neural memory in a deep learning artificial neural network. The embodiments are able to compensate for slope differences during both sub-threshold and linear operation of reference transistors.
-
-
-
-
-
-
-
-
-