Patent classifications
G11C27/005
Analog content addressable memory for storing and searching arbitrary segments of ranges
Systems, devices, circuits, methods, and non-transitory computer readable media that enable storing and searching arbitrary segments of ranges of analog values are disclosed. Various analog content addressable memory (aCAM) circuit implementations having the capability to store and search outside of a range of values, within any of multiple disjoint ranges, or outside of multiple ranges are disclosed. The disclosed aCAM circuit implementations make searching for complex input features more flexible and efficient, thereby yielding a technological improvement over conventional solutions. In some implementations, an aCAM may include multiple pull-down transistors connected in series to a match line that is pre-charged, in which case, the aCAM detects a match if the match line is not discharged by the pull-down transistors, which occurs if at least one pull-down transistor is in an OFF state. In other implementations, an aCAM includes pass gates connected to a match line to detect a match.
Redundant memory access for rows or columns containing faulty memory cells in analog neural memory in deep learning artificial neural network
Numerous embodiments are disclosed for accessing redundant non-volatile memory cells in place of one or more rows or columns containing one or more faulty non-volatile memory cells during a program, erase, read, or neural read operation in an analog neural memory system used in a deep learning artificial neural network.
Dual-precision analog memory cell and array
Dual-precision analog memory cells and arrays are provided. In some embodiments, a memory cell, comprises a non-volatile memory element having an input terminal and at least one output terminal; and a volatile memory element having a plurality of input terminals and an output terminal, wherein the output terminal of the volatile memory element is coupled to the input terminal of the non-volatile memory element, and wherein the volatile memory element comprises: a first transistor coupled between a first supply and a common node, and a second transistor coupled between a second supply and the common node; wherein the common node is coupled to the output terminal of the volatile memory element; and wherein gates of the first and second transistors are coupled to respective ones of the plurality of input terminals of the volatile memory element.
Mixed digital-analog memory devices and circuits for secure storage and computing
A non-volatile memory device includes a plurality of memory cells arranged in a matrix, a plurality of word lines extended in a row direction, and a plurality of bit lines extended in a column direction. Each of the memory cells is coupled to one of the word lines and one of the bit lines. The memory device further includes a word-line control circuit coupled to and configured to control the word lines, a first bit-line control circuit configured to control the bit lines and sense the memory cells in a digital mode, and a second bit-line control circuit configured to bias the bit lines and sense the memory cells in an analog mode. The first bit-line control circuit is coupled to a first end of each of the bit lines. The second bit-line control circuit is coupled to a second end of each of the bit lines.
LOW POWER MTJ-BASED ANALOG MEMORY DEVICE
A memory system may include a magnetic tunnel junction stack, a first high resistance tunnel barrier, and a first voltage controlled magnetic anisotropy write layer. The first voltage controlled magnetic anisotropy write layer may be adjacent the high resistance tunnel barrier, and the voltage controlled magnetic anisotropy write line may include a magnetic material in direct contact with a high resistance tunnel barrier.
PRECISE DATA TUNING METHOD AND APPARATUS FOR ANALOG NEURAL MEMORY IN AN ARTIFICIAL NEURAL NETWORK
Numerous examples of a precision programming 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. In one example, a neuron output circuit for providing a current to program as a weight value in a selected memory cell in a vector-by-matrix multiplication array is disclosed, the neuron output circuit comprising a first adjustable current source to generate a scaled current in response to a neuron current to implement a positive weight, and a second adjustable current source to generate a scaled current in response to a neuron current to implement a negative weight.
ANALOG CONTENT ADDRESSABLE MEMORY FOR STORING AND SEARCHING ARBITRARY SEGMENTS OF RANGES
Systems, devices, circuits, methods, and non-transitory computer readable media that enable storing and searching arbitrary segments of ranges of analog values are disclosed. Various analog content addressable memory (aCAM) circuit implementations having the capability to store and search outside of a range of values, within any of multiple disjoint ranges, or outside of multiple ranges are disclosed. The disclosed aCAM circuit implementations make searching for complex input features more flexible and efficient, thereby yielding a technological improvement over conventional solutions. In some implementations, an aCAM may include multiple pull-down transistors connected in series to a match line that is pre-charged, in which case, the aCAM detects a match if the match line is not discharged by the pull-down transistors, which occurs if at least one pull-down transistor is in an OFF state. In other implementations, an aCAM includes pass gates connected to a match line to detect a match.
ANALOG CONTENT-ADDRESS MEMORY AND OPERATION METHOD THEREOF
An analog CAM and an operation method thereof are provided. The analog CAM includes a matching line, an analog CAM cell and a sense amplifier. Each of the at least one analog CAM includes a first floating gate device having a N type channel and a second floating gate device having a P type channel. A match range is set through programming the first floating gate device and the second floating gate device. The sense amplifier is connected to the matching line. If an inputting signal is within the match range, a voltage of the matching line is pulled down to be equal to or lower than a predetermined level. The sense amplifier outputs a match result if the voltage of the matching line is pulled down to a predetermined level.
MULTIPLY OPERATION CIRCUIT, MULTIPLY AND ACCUMULATE CIRCUIT, AND METHODS THEREOF
Various aspects relate to a multiply and accumulate circuit, the multiply and accumulate circuit including: a plurality of multiply operation cells configured in a matrix arrangement. A respective multiply operation cell of the multiply operation cells includes: a field-effect transistor and a programmable switch in a series connection, wherein the field-effect transistor and the programmable switch are configured to control a current flow through the respective multiply operation cell to realize a multiplication operation. The multiply operation cells of a set of the plurality of multiply operation cells share a corresponding control line to realize an accumulation operation in addition to the multiply operations carried out by the set of multiply operation cells.
Configurable input blocks and output blocks and physical layout for analog neural memory in deep learning artificial neural network
Configurable input blocks and output blocks and physical layouts are disclosed for analog neural memory systems that utilize non-volatile memory cells. An input block can be configured to support different numbers of arrays arranged in a horizontal direction, and an output block can be configured to support different numbers of arrays arranged in a vertical direction. Adjustable components are disclosed for use in the configurable input blocks and output blocks.