IP Library Granted Patent US 8,848,453
Granted Patent B2
US 8,848,453 · App. 13/600,563 · Granted Sep 30, 2014

Inferring threshold voltage distributions associated with memory cells via interpolation

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Quick Facts
Patent No.
US 8,848,453
App. No.
13/600,563
Granted
Sep 30, 2014
Kind
B2
Abstract

An apparatuses and methods for inferring threshold voltage distributions associated with memory cells via interpolation. A determining soft data for a group of memory cells each programmed to one of a number of data states, wherein the soft data comprises a number of different soft data values, determining a quantity of memory cells associated with each of the different soft data values, and inferring at least a portion of a threshold voltage distribution associated with the group of memory cells via an interpolation process using the determined quantities of memory cells associated with each of the different soft data values.

Claims (86)

1. A method for operating memory, comprising:

determining soft data for a group of memory cells each programmed to one of a number of data states, wherein the soft data comprises a number of different soft data values;

determining a quantity of memory cells associated with each of the different soft data values; and

inferring at least a portion of a threshold voltage distribution associated with the group of memory cells via an interpolation process using the determined quantities of memory cells associated with each of the different soft data values.

2. The method of claim 1 , wherein the method includes:

normalizing the determined quantities of memory cells associated with each of the different soft data values; and

inferring at least the portion of the threshold voltage distribution associated with the group of memory cells via the interpolation process using the normalized quantities of memory cells associated with each of the different soft data values.

3. The method of claim 1 , wherein the method includes determining a sensing voltage used to determine a data state of the group of memory cells based on the inferred portion of the threshold voltage distribution associated with the group of memory cells.

4. The method of claim 1 , wherein determining the soft data for the group of memory cells includes performing a number of sense operations on the group of memory cells using a number of sensing voltages, wherein each of the number of sensing voltages are spaced apart by a same voltage amount.

5. The method of claim 1 , wherein determining the quantity of memory cells associated with each of the different soft data values includes creating a histogram for each of the different soft data values, wherein a height of each histogram corresponds to the quantity of memory cells associated with the soft data value for that particular histogram.

6. The method of claim 5 , wherein a width of each histogram corresponds to a spacing between sensing voltages used to determine the soft data for the group memory cells.

7. The method of claim 1 , wherein the method includes:

determining the soft data associated with the group of memory cells using a number of sensing voltages, wherein each of the sensing voltages are spaced apart by a voltage amount;

assigning a threshold voltage value to represent each of the spacings between the sensing voltages; and

inferring at least the portion of the threshold voltage distribution associated with the group of memory cells via the interpolation process using the threshold voltage values assigned to represent each of the spacings between the sensing voltages.

8. The method of claim 7 , wherein assigning a threshold voltage value to represent each of the spacings between the sensing voltages includes mapping the spacings between the sensing voltages.

9. The method of claim 8 , wherein the mapping of the spacings between the sensing voltages includes a base mapping of the spacings between the sensing voltages.

10. The method of claim 8 , wherein the mapping of the spacings between the sensing voltages includes a heuristic mapping of the spacings between the sensing voltages.

11. The method of claim 8 , wherein the mapping of the spacings between the sensing voltages is based on a previously determined threshold voltage distribution associated with the group of memory cells.

12. The method of claim 7 , wherein the interpolation process using the threshold voltage values assigned to represent each of the spacings between the sensing voltages includes fitting the assigned threshold voltage values to a curve.

13. The method of claim 1 , wherein the method includes:

using a controller to determine the soft data for the group of memory cells;

using a controller to determine the quantity of memory cells associated with each of the different soft data values; and

using a controller to infer the at least a portion of the threshold voltage distribution associated with the group of memory cells via the interpolation process.

14. A method for operating memory, comprising:

determining, using a number of sensing voltages spaced apart by a voltage amount, soft data for a group of memory cells each programmed to one of a number of data states, wherein the soft data comprises a number of different soft data values;

determining the quantity of memory cells associated with each of the different soft data values;

normalizing the determined quantities of memory cells associated with each of the different soft data values;

assigning a threshold voltage value to represent each of the spacings between the sensing voltages; and

inferring at least a portion of a threshold voltage distribution associated with the group of memory cells via an interpolation process using the threshold voltage values assigned to represent each of the spacings between the sensing voltages and the normalized quantities of memory cells associated with each of the different soft data values.

15. The method of claim 14 , wherein a number of the number of sensing voltages are spaced apart by different voltage amounts.

16. The method of claim 14 , wherein normalizing the determined quantities of memory cells associated with each of the different soft data values includes equalizing a weight of the determined quantities of memory cells associated with each of the different soft data values.

17. The method of claim 14 , wherein the number of different soft data values is four.

18. The method of claim 14 , wherein inferring at least the portion of the threshold voltage distribution associated with the group of memory cells includes inferring a threshold voltage distribution curve associated with the group of memory cells.

19. The method of claim 14 , wherein the method includes determining a width of the portion of the threshold voltage distribution associated with the group of memory cells.

20. The method of claim 14 , wherein the method includes:

using a histogram builder to determine the quantity of memory cells associated with each of the different soft data values;

using a normalization engine to normalize the determined quantities of memory cells associated with each of the different soft data values;

using an interpretation engine to assign the threshold voltage values to represent the spacings between the sensing voltages; and

using an interpolation engine to infer the at least a portion of the threshold voltage distribution associated with the group of memory cells via the interpolation process.

21. An apparatus, comprising:

an array of memory cells; and

a controller coupled to the array and configured to:

determine soft data for a group of the memory cells each programmed to one of a number of data states, wherein the soft data comprises a number of different soft data values;

determine a quantity of memory cells associated with each of the different soft data values; and

perform an interpolation process using the determined quantities of memory cells associated with each of the different soft data values to infer at least a portion of a threshold voltage distribution curve associated with the group of memory cells.

22. The apparatus of claim 21 , wherein the controller is configured to determine the soft data for the group of the memory cells using a number of sensing voltages, wherein each of the number of sensing voltages are spaced apart by a same voltage amount.

23. The apparatus of claim 21 , wherein the controller is configured to determine a sensing voltage used to determine a data state of the group of the memory cells based on the inferred threshold voltage distribution curve associated with the group of memory cells.

24. The apparatus of claim 23 , wherein the sensing voltage used to determine a data state of the group of the memory cells corresponds to a minimum of the inferred threshold voltage distribution curve.

25. An apparatus, comprising:

an array of memory cells;

a controller coupled to the array and configured to:

determine soft data for a group of the memory cells each programmed to one of a number of data states, wherein the soft data comprises a number of different soft data values; and

determine a quantity of memory cells associated with each of the different soft data values; and

an interpolation engine configured to infer at least a portion of a threshold voltage distribution associated with the group of the memory cells via an interpolation process using the determined quantities of memory cells associated with each of the different soft data values.

26. The apparatus of claim 25 , wherein the controller is on a same semiconductor die as the array.

27. The apparatus of claim 25 , wherein the controller is on a different semiconductor die than the array.

28. The apparatus of claim 25 , wherein the controller includes circuitry on a same semiconductor die as the array and circuitry on a different semiconductor die than the array.

29. The apparatus of claim 25 , wherein the controller includes the interpolation engine.

30. The apparatus of claim 25 , wherein the interpolation process is a linear interpolation process.

31. The apparatus of claim 25 , wherein the interpolation process is a polynomial interpolation process.

32. The apparatus of claim 25 , wherein the interpolation process is a cubic spline interpolation process.

33. An apparatus, comprising:

an array of memory cells; and

a controller coupled to the array and configured to:

determine, using a number of sensing voltages spaced apart by a voltage amount, soft data for a group of the memory cells each programmed to one of a number of data states, wherein the soft data comprises a number of different soft data values;

determine a quantity of memory cells associated with each of the different soft data values;

normalize the determined quantities of memory cells associated with each of the different soft data values;

assign a threshold voltage value to represent each of the spacings between the sensing voltages; and

perform an interpolation process using the threshold voltage values assigned to represent the spacings between the sensing voltages and the normalized quantities of memory cells associated with each of the different soft data values to infer at least a portion of a threshold voltage distribution curve associated with the group of the memory cells.

34. The apparatus of claim 33 , wherein the controller includes:

a histogram builder configured to determine the quantity of memory cells associated with each of the different soft data values;

a normalization engine configured to normalize the determined quantities of memory cells associated with each of the different soft data values;

an interpretation engine configured to assign the threshold voltage values to represent the spacings between the sensing voltages; and

an interpolation engine configured to perform the interpolation process using the threshold values assigned to represent the spacings between the sensing voltages and the normalized quantities of memory cells associated with each of the different soft data values to infer at least the portion of the threshold voltage distribution curve associated with the group of the memory cells.

35. The apparatus of claim 33 , wherein the controller is configured to:

determine the quantity of memory cells associated with each of the different soft data values by creating a histogram for each of the different soft data values, wherein a height of each histogram corresponds to the quantity of memory cells associated with the soft data value for that particular histogram; and

normalize the determined quantities of memory cells associated with each of the different soft data values by adjusting the heights of a number of the histograms such that a weight of the quantities of memory cells associated with each of the different soft data values is equal, wherein the height of each histogram after adjusting the heights of the number of the histograms corresponds to the normalized quantities of memory cells associated with each of the different soft data values.

36. The apparatus of claim 35 , wherein adjusting the heights of the number of the histograms includes decreasing the heights of the number of the histograms.

37. The apparatus of claim 33 , wherein a number of the number of sensing voltages are spaced apart by different voltage amounts.

38. The apparatus of claim 37 , wherein:

a first and a second of the number sensing voltages are spaced apart by a first voltage amount;

the second and a third of the number of sensing voltages are spaced apart by a second voltage amount that is different than the first voltage amount;

the third and a fourth of the number of sensing voltages are spaced apart by the second voltage amount; and

the fourth and a fifth of the number of sensing voltages are spaced apart by the first voltage amount.

39. The apparatus of claim 33 , wherein each of the number of sensing voltages are spaced apart by different voltage amounts.

Assignments (8)
RELEASE OF SECURITY INTEREST Recorded Nov 12, 2019
From: JPMORGAN CHASE BANK, N.A., AS COLLATERAL AGENT
To: MICRON TECHNOLOGY, INC.; MICRON SEMICONDUCTOR PRODUCTS, INC.
Reel/Frame 051028/0001 →
RELEASE OF SECURITY INTEREST Recorded Oct 9, 2019
From: MORGAN STANLEY SENIOR FUNDING, INC., AS COLLATERAL AGENT
To: MICRON TECHNOLOGY, INC.
Reel/Frame 050937/0001 →
RELEASE OF SECURITY INTEREST Recorded Aug 23, 2018
From: U.S. BANK NATIONAL ASSOCIATION, AS COLLATERAL AGENT
To: MICRON TECHNOLOGY, INC.
Reel/Frame 047243/0001 →
SECURITY INTEREST Recorded Jul 13, 2018
From: MICRON TECHNOLOGY, INC.; MICRON SEMICONDUCTOR PRODUCTS, INC.
To: JPMORGAN CHASE BANK, N.A., AS COLLATERAL AGENT
Reel/Frame 047540/0001 →
CORRECTIVE ASSIGNMENT TO CORRECT THE REPLACE ERRONEOUSLY FILED PATENT #7358718 WITH THE CORRECT PATENT #7358178 PREVIOUSLY RECORDED ON REEL 038669 FRAME 0001. ASSIGNOR(S) HEREBY CONFIRMS THE SECURITY INTEREST. Recorded Jun 8, 2017
From: MICRON TECHNOLOGY, INC.
To: U.S. BANK NATIONAL ASSOCIATION, AS COLLATERAL AGENT
Reel/Frame 043079/0001 →
PATENT SECURITY AGREEMENT Recorded Jun 2, 2016
From: MICRON TECHNOLOGY, INC.
To: MORGAN STANLEY SENIOR FUNDING, INC., AS COLLATERAL AGENT
Reel/Frame 038954/0001 →
SECURITY INTEREST Recorded May 12, 2016
From: MICRON TECHNOLOGY, INC.
To: U.S. BANK NATIONAL ASSOCIATION, AS COLLATERAL AGENT
Reel/Frame 038669/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 31, 2012
From: SHEN, ZHENLEI; RADKE, WILLIAM H.
To: MICRON TECHNOLOGY, INC.
Reel/Frame 028881/0377 →