Patent classifications
G11C13/0097
Multiplexer for memory
In an example, a multiplexer is provided. The multiplexer may include one or more first strings controlling access to source-lines of the memory, wherein a first string of the one or more first strings includes a first set of two high voltage transistors and a first plurality of low voltage transistors. The multiplexer may include one or more second strings controlling access to bit-lines of the memory, wherein a second string of the one or more second strings includes a second set of two high voltage transistors and a second plurality of low voltage transistors. A method for operating such multiplexer is provided.
Three dimensional memory and methods of forming the same
Some embodiments include a memory device and methods of forming the memory device. One such memory device includes a first group of memory cells, each of the memory cells of the first group being formed in a cavity of a first control gate located in one device level of the memory device. The memory device also includes a second group of memory cells, each of the memory cells of the second group being formed in a cavity of a second control gate located in another device level of the memory device. Additional apparatus and methods are described.
Hybrid non-volatile memory cell
A non-volatile memory structure, and methods of manufacture, which may include a first memory element and a second memory element between a first terminal and a second terminal. The first memory element and the second memory element may be in parallel with each other between the first and second terminal. This may enable the hybrid non-volatile memory structure to store values as a combination of the conductance for each memory element, thereby enabling better tuning of set and reset conductance parameters.
THREE DIMENSIONAL MEMORY AND METHODS OF FORMING THE SAME
Some embodiments include a memory device and methods of forming the memory device. One such memory device includes a first group of memory cells, each of the memory cells of the first group being formed in a cavity of a first control gate located in one device level of the memory device. The memory device also includes a second group of memory cells, each of the memory cells of the second group being formed in a cavity of a second control gate located in another device level of the memory device. Additional apparatus and methods are described.
Memory cells, memory cell arrays, methods of using and methods of making
A semiconductor memory cell and arrays of memory cells are provided In at least one embodiment, a memory cell includes a substrate having a top surface, the substrate having a first conductivity type selected from a p-type conductivity type and an n-type conductivity type; a first region having a second conductivity type selected from the p-type and n-type conductivity types, the second conductivity type being different from the first conductivity type, the first region being formed in the substrate and exposed at the top surface; a second region having the second conductivity type, the second region being formed in the substrate, spaced apart from the first region and exposed at the top surface; a buried layer in the substrate below the first and second regions, spaced apart from the first and second regions and having the second conductivity type; a body region formed between the first and second regions and the buried layer, the body region having the first conductivity type; a gate positioned between the first and second regions and above the top surface; and a nonvolatile memory configured to store data upon transfer from the body region.
Mitigation of voltage threshold drift associated with power down condition of non-volatile memory device
Methods, systems, and devices for dirty write on power off are described. In an example, the described techniques may include writing memory cells of a device according to one or more parameters (e.g., reset current amplitude), where each memory cell is associated with a storage element storing a value based on a material property associated with the storage element. Additionally, the described techniques may include identifying, after writing the memory cells, an indication of power down for the device and refreshing, before the power down of the device, a portion of the memory cells based on identifying the indication of the power down for the device. In some cases, refreshing includes modifying at least one of the one or more parameters for a write operation for the portion of the memory cells.
RESISTIVE MEMORY DEVICE AND METHOD OF OPERATING THE RESISTIVE MEMORY DEVICE
Provided herein may be a resistive memory device and a method of operating the resistive memory device. The resistive memory device may include strings coupled between one or more source lines and one or more bit lines, each string including a set of one or more resistive memory cells, one or more word lines respectively coupled to the set of one or more resistive memory cells; and a voltage generator configured to control a level of a turn-on voltage to be applied to one or more unselected word lines among the one or more word lines depending on a program target state of a subset of resistive memory cells including one or more resistive memory cells selected from among the set of one or more resistive memory cells.
Neural network data updates using in-place bit-addressable writes within storage class memory
Methods and apparatus are disclosed for managing the storage of dynamic neural network data within bit-addressable memory devices, such phase change memory (PCM) arrays or other storage class memory (SCM) arrays. In some examples, a storage controller determines an expected amount of change within data to be updated. If the amount is below a threshold, an In-place Write is performed using bit-addressable writes via individual SET and RESET pulses. Otherwise, a modify version of an In-place Write is performed where a SET pulse is applied to preset a portion of memory to a SET state so that individual bit-addressable writes then may be performed using only RESET pulses to encode the updated data. In other examples, a storage controller separately manages static and dynamic neural network data by storing the static data in a NAND-based memory array and instead storing the dynamic data in a SCM array.
RESISTIVE MEMORY DEVICE AND FORMING METHOD THEREOF
A resistive memory device includes word lines, first memory cells, second memory cells, bit lines, source lines, and a driver. The driver provides a forming voltage to the first memory cells and the second memory cells through the bit lines and the source lines in a forming process. A first connection length along the bit lines and the source lines between the first memory cells and the driver is longer than a second connection length along the bit lines and the source lines between the second memory cells and the driver. The forming process is performed to the first memory cells before the forming process is performed to the second memory cells. A first value of the forming voltage provided to the first memory cells is less than a second value of the forming voltage provided to the second memory cells.
GAUSSIAN SAMPLING APPARATUS AND METHOD BASED ON RESISTIVE RANDOM ACCESS MEMORY
Disclosed herein are a Gaussian sampling apparatus and method based on resistive RAM. The Gaussian sampling apparatus based on resistive RAM includes Resistive RAM (RRAM) in which a resistive switching layer is disposed between an upper electrode and a lower electrode, and a sampling controller, wherein the sampling controller is configured to perform an operation corresponding to an erase command of applying a reset voltage to the RRAM when a Gaussian error request is received from an outside of the Gaussian sampling apparatus, perform an operation corresponding to a program command of applying a set voltage to the RRAM after the operation corresponding to the erase command has been completed, perform an operation of reading resistance data from the RRAM, and provide a response to the outside of the Gaussian sampling apparatus by transmitting the resistance data of the RRAM as Gaussian error data.