G11C13/0002

Neural network memory

An example apparatus can include a memory array and a memory controller. The memory array can include a first portion including a first plurality of memory cells. The memory array can further include a second portion including a second plurality of memory cells. The memory controller can be coupled to the first portion and the second portion. The memory controller can be configured to operate the first plurality of memory cells for short-term memory operations. The memory controller can be further configured to operate the second plurality of memory cells for long-term memory operations.

Magnetoresistive effect element and magnetic memory

A magnetoresistive effect element includes a magnetization fixed layer, a magnetization free layer, and a non-magnetic spacer layer that is stacked between the magnetization fixed layer and the magnetization free layer. The magnetization free layer includes a first free layer and a second free layer that are formed of a ferromagnetic material, and a magnetic coupling layer that is stacked between the first free layer and the second free layer. The first free layer and the second free layer are magnetically coupled to each other by exchange coupling via the magnetic coupling layer such that magnetization directions of the first free layer and the second free layer are antiparallel to each other. The magnetic coupling layer is a non-magnetic layer that includes Ir and at least one of the following elements: Fe, Co and Ni.

Memory processing unit architecture

A memory processing unit architecture can include a plurality of memory regions and a plurality of processing regions interleaved between the plurality of memory regions. The plurality of processing regions can be configured to perform computation functions of a model such as an artificial neural network. Data can be transferred between the computation functions in respective memory processing regions. In addition, the memory regions can be utilized to transfer data between a computation function in one processing region and a computation function in another processing region adjacent to the given memory region.

Electrical distance-based wave shaping for a memory device
11488663 · 2022-11-01 · ·

Memory devices have an array of elements in two or more dimensions. The memory devices use multiple access lines arranged in a grid to access the memory devices. Memory cells are located at intersections of the access lines in the grid. Drivers are used for each access line and configured to transmit a corresponding signal to respective memory cells of the plurality of memory cells via a corresponding access line. The memory devices also include compensation circuitry configured to determine which driving access lines driving a target memory cell of the plurality of memory cells has the most distance between the target memory cell and a respective driver. The plurality of access lines comprise the driving access lines. The compensation circuitry also is configured to output compensation values to adjust the voltages of the driving access lines based on a polarity of the voltage of the longer driving access line.

CIRCUIT DESIGN AND LAYOUT WITH HIGH EMBEDDED MEMORY DENSITY

Various embodiments of the present disclosure are directed towards a memory device. The memory device has a first transistor having a first source/drain and a second source/drain, where the first source/drain and the second source/drain are disposed in a semiconductor substrate. A dielectric structure is disposed over the semiconductor substrate. A first memory cell is disposed in the dielectric structure and over the semiconductor substrate, where the first memory cell has a first electrode and a second electrode, where the first electrode of the first memory cell is electrically coupled to the first source/drain of the first transistor. A second memory cell is disposed in the dielectric structure and over the semiconductor substrate, where the second memory cell has a first electrode and a second electrode, where the first electrode of the second memory cell is electrically coupled to the second source/drain of the first transistor.

ANALOG CONTENT ADDRESSABLE MEMORY WITH ANALOG INPUT AND ANALOG OUTPUT
20220351794 · 2022-11-03 ·

An analog content addressable memory (aCAM) that enables parallel searching of analog ranges of values and generates analog outputs that quantify matches between input data and stored data is disclosed. The input data can be compared with the stored data, and the input data can be determined to match the stored data based on a value associated with the input data being within a range associated with the stored data. The aCAM can generate an analog output that represents a number of matches and a number of mismatches between the input data and the stored data. Based on the analog output, whether the input data matches the stored data and a degree to which the input data matches the stored data can be determined.

Formation failure resilient neuromorphic device

A neuromorphic device includes a plurality of first control lines, a plurality of second control lines and a matrix of resistive processing unit cells. Each resistive processing unit cell is electrically connected with one of the first control lines and one of the second control lines. A given resistive processing unit cell includes a first resistive device and a second resistive device. The first resistive device is a positively weighted resistive device and the second resistive device is a negatively weighted resistive device.

Crossbar array circuit with parallel grounding lines
11610942 · 2023-03-21 · ·

Technologies relating to crossbar array circuits with parallel grounding lines are disclosed. An example crossbar array circuit includes: a word line; a bit line; a first selector line, a grounding line; a first transistor including a first source terminal, a first drain terminal, a first gate terminal, and a first body terminal; and an RRAM device connected in series with the first transistor. The grounding line is connected to the first body terminal and is grounded and the grounding line parallel to the bit line. The first selector line is connected to the first gate terminal. In some implementations, the RRAM device is connected between the first transistor via the first drain terminal and the word line, and the first source terminal is connected to the bit line.

APPARATUS AND METHOD WITH NEURAL NETWORK OPERATIONS

A neural network apparatus includes: a first processing circuit and a second processing circuit each configured to perform a vector-by-matrix multiplication (VMM) operation on a weight and an input activation; a first register configured to store an output of the first processing circuit; an adder configured to add an output of the first register and an output of the second processing circuit; a second register configured to store an output of the adder; and an input circuit configured to input a same input activation to the first processing circuit and the second processing circuit and control the first processing circuit and the second processing circuit.

HYBRID MEMORY FOR NEUROMORPHIC APPLICATIONS
20230082961 · 2023-03-16 ·

A memory device is provided. The memory device includes a ReRAM memory element, and a PCM memory element that is electrically connected in parallel with the ReRAM memory element.