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1.
公开(公告)号:US11783904B2
公开(公告)日:2023-10-10
申请号:US17839294
申请日:2022-06-13
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
CPC classification number: G11C16/3459 , G06F3/0688 , G06N3/063 , G06N3/08 , G11C16/10 , G11C16/26 , G11C16/3436 , G11C29/10
Abstract: In one example, a method is disclosed of compensating for leakage in an array of analog neural non-volatile memory cells, wherein the array is arranged in rows and columns, wherein each row is coupled to a word line and each column is coupled to a bitline, the method comprising measuring leakage for a column of analog neural non-volatile memory cells coupled to a bitline; storing the measured leakage value; and applying the measured leakage value during a read operation of the column of analog neural non-volatile memory cells to compensate for the leakage.
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公开(公告)号:US20210020255A1
公开(公告)日:2021-01-21
申请号:US16569611
申请日:2019-09-12
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
Abstract: Testing circuitry and methods are disclosed for use with analog neural memory in deep learning artificial neural networks. The analog neural memory comprises one or more arrays of non-volatile memory cells. The testing circuitry and methods can be utilized during sort tests, qualification tests, and other tests to verify programming operations of one or more cells.
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公开(公告)号:US20210019608A1
公开(公告)日:2021-01-21
申请号:US16569647
申请日:2019-09-12
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
Abstract: Testing circuitry and methods are disclosed for use with analog neural memory in deep learning artificial neural networks. The analog neural memory comprises one or more arrays of non-volatile memory cells. The testing circuitry and methods can be utilized during sort tests, qualification tests, and other tests to verify programming operations of one or more cells.
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公开(公告)号:US12205655B2
公开(公告)日:2025-01-21
申请号:US17841411
申请日:2022-06-15
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
Abstract: In one example, a method of testing a plurality of non-volatile memory cells in an array of non-volatile memory cells, wherein the array is arranged in rows and columns, wherein each row is coupled to a word line and each column is coupled to a bit line, and wherein each word line is selectively coupled to a row decoder and each bit line is selectively coupled to a column decoder, comprises asserting, by the row decoder, all word lines in the array; asserting, by the column decoder, all bit lines in the array; performing a deep programming operation on the array of non-volatile memory cells; and measuring a total current received from the bit lines.
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公开(公告)号:US20220405564A1
公开(公告)日:2022-12-22
申请号:US17893075
申请日:2022-08-22
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
Abstract: Testing circuitry and methods are disclosed for use with analog neural memory in deep learning artificial neural networks. In one example, a method comprises programming a plurality of analog neural non-volatile memory cells in an array of analog neural non-volatile memory cells to store one of N different values, where N is a number of different levels that can be stored in any of the analog neural non-volatile memory cells; measuring a current drawn by the plurality of analog neural non-volatile memory cells; comparing the measured current to a target value; and identifying the plurality of the analog neural non-volatile memory cells as bad if the difference between the measured value and the target value exceeds a threshold.
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6.
公开(公告)号:US20220319619A1
公开(公告)日:2022-10-06
申请号:US17839294
申请日:2022-06-13
Applicant: Silicon Storage Technology, Inc,
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
Abstract: Circuitry and methods are disclosed for compensating for leakage in analog neural memory in deep learning artificial neural networks. In one example, a method is disclosed of compensating for leakage in an array of analog neural non-volatile memory cells, wherein the array is arranged in rows and columns, wherein each row is coupled to a word line and each column is coupled to a bitline, the method comprising measuring leakage for a column of analog neural non-volatile memory cells coupled to a bitline; storing the measured leakage value; and applying the measured leakage value during a read operation of the column of analog neural non-volatile memory cells to compensate for the leakage.
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公开(公告)号:US11449741B2
公开(公告)日:2022-09-20
申请号:US16569647
申请日:2019-09-12
Applicant: Silicon Storage Technology, Inc.
Inventor: Hieu Van Tran , Thuan Vu , Stephen Trinh , Stanley Hong , Anh Ly , Steven Lemke , Nha Nguyen , Vipin Tiwari , Nhan Do
Abstract: Testing circuitry and methods are disclosed for use with analog neural memory in deep learning artificial neural networks. The analog neural memory comprises one or more arrays of non-volatile memory cells. The testing circuitry and methods can be utilized during sort tests, qualification tests, and other tests to verify programming operations of one or more cells.
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