Cypress Semiconductor Corporation

Infineon Technologies LLC

Mie Fujitsu Semiconductor Limited

Suvolta, Inc.

Vineet Agrawal

Krishnaswamy Ramkumar

Ravindra Manohar Kapre

Long Hinh

Santanu Kumar Samanta

Venkatraman Prabhakar

Samuel Leshner

David Anthony Kidd

Chao-Wu Chen

Swatilekha Saha

Michael Amundson

Edward John Boling

Sang-Soo Lee

Roger J Bettman

Augustine Kuo

Venkataraman Prabhakar

Prashant Kumar Saxena

A method can include, for each row of a nonvolatile memory (NVM) cell array, generating a multiply-accumulate (MAC) result for the row by applying input values on bit lines. Each MAC result comprising a summation of an analog current or voltage that is a function of each input value modified by a corresponding weight value stored by the NVM cells of the row. By operation of at least one multiplexer, one of the rows can be connected to an analog-to-digital converter (ADC) circuit to convert the analog current or voltage of the row into a digital MAC value. A storage element of each NVM cell can be configured to store a weight value that can vary between no less than three different values. Corresponding devices and systems are also disclosed.

Compute-in-memory devices, systems and methods of operation thereof

A method of operating a semiconductor inference device that includes the steps of writing one of multiple analog weight values to memory cells of a non-volatile memory (NVM) array, receiving inputs through a bus system, performing multiply accumulate (MAC) operations based on the inputs and the stored analog weight values, converting results of the MAC operations to outputs, and transmitting the outputs through the bus system.

Silicon-oxide-nitride-oxide-silicon based multi-level non-volatile memory device and methods of operation thereof

A method of fabricating a multi-level memory cell that includes the steps of forming a shallow trench isolation (STI) in a substrate, performing clean and preclean process such that top surfaces of the STI and substrate are substantially leveled, forming a tunnel dielectric using a radical oxidation process, forming upper and lower silicon oxynitride layers in which an amount of electric charge trapped represents N&#xd7;analog values stored in the multi-level memory cell, N is a natural number greater than 2, forming a blocking dielectric and patterning to form a memory stack, and forming a lightly-doped drain extension (LDD) adjacent to the memory stack by angled implant such that the LDD extends at least partly under the memory stack.

Silicon-oxide-nitride-oxide-silicon multi-level non-volatile memory device and methods of fabrication thereof

A semiconductor inference device that has a non-volatile memory (NVM) array including NVM cells arranged in rows and columns, in which each NVM cell comprises a charge trapping transistor configured to store one of N&#xd7;analog values corresponding to N&#xd7;levels of its drain current (ID) or threshold voltage (VT) levels, representing N&#xd7;weight values for multiply accumulate (MAC) operations. The semiconductor inference device also includes digital-to-analog (DAC) function and multiplexor (mux) function configured to generate an analog MAC result based on the digital inputs converted results and the weight values read results, and analog-to-digital (ADC) function configured to convert the analog MAC result of the mux function to a digital value. Other embodiments of the semiconductor inference device and related methods and systems are also disclosed.

A semiconductor device that has a silicon-oxide-nitride-oxide-silicon (SONOS) based non-volatile memory (NVM) array including charge-trapping memory cells arranged in rows and columns and configured to store one of N&#xd7;analog values. Each charge-trapping memory cells may include a memory transistor including an angled lightly doped drain (LDD) implant extends at least partly under an oxide-nitride-oxide (ONO) layer of the memory transistor. The ONO layer disposed within the memory transistor and over an adjacent isolation structure has the same elevation substantially.

A semiconductor device that has a semiconductor-oxide-nitride-oxide-semiconductor (SONOS) based non-volatile memory (NVM) array including NVM cells arranged in rows and columns, in which NVM transistors of the NVM cells are configured to store N&#xd7;analog values corresponding to the N&#xd7;levels of their drain current (I) or threshold voltage (V) levels, digital-to-analog (DAC) function that receives and converts digital signals from external devices, column multiplexor (mux) function that is configured to select and combine the analog value read from the NVM cells, and analog-to-digital (ADC) function that is configured to convert analog results of the column mux function to digital values and output the digital values.

Silicon-oxide-nitride-oxide-silicon based multi level non-volatile memory device and methods of operation thereof

Disclosed herein are systems, methods, and devices for parallel read and write operations. Devices may include a first transmission device coupled to a local bit line and a global bit line associated with a memory unit of a memory array. The first transmission device may be configured to selectively couple the global bit line to the local bit line. The devices may further include a first device coupled to the local bit line and a sense amplifier. The first device may be configured to selectively couple the local bit line to the sense amplifier. The devices may also include a second device coupled to the local bit line and an electrical ground. The second device may be configured to selectively couple the local bit line to the electrical ground.

Systems, methods, and devices for parallel read and write operations

An integrated circuit can include at least one slew generator circuit comprising at least one body biasable reference transistor, the slew generator circuit configured to generate at least a first signal having a slew rate that varies according to characteristics of the reference transistor; a pulse generator circuit configured to generate a pulse signal having a first pulse with a duration corresponding to the slew rate of the first signal; and a counter configured to generate a count value corresponding to a duration of the first pulse.

Slew based process and bias monitors and related methods

A semiconductor circuit can include an array of static random access memory (SRAM) cells. A first SRAM cell may provide a first current through an insulated gate field effect transistor (IGFET) having a first conductivity type. A second SRAM cell may provide a second current through an IGFET having a second conductivity type. A first current division slew circuit can provide a first slew output current proportional to the first current to change the charge on a first slew capacitor. A second current division slew circuit can provide a second slew output current proportional to the second current to change the charge on a second slew capacitor. A pulse may be generated having a first edge determined by a launch signal and a second edge determined by the time the first or the second capacitor reach a predetermined potential.

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San Jose, CA, United States of America

Vineet Agrawal