Micron Technology Incorporated

Richard Cameron Murphy

Glen Earl Hush

Vijay S Ramesh

Anton Korzh

Honglin Sun

Troy A Manning

Kyle B Wheeler

Jason T Zawodny

Reshmi Basu

Timothy P Finkbeiner

Allan Kennedy Porterfield

Brent Keeth

Dean A Klein

John D Leidel

Perry Victor Lea

Stephen S Pawlowski

Elliott Clifford Cooper-Balis

Kelley D Dobelstein

Jeremiah James Willcock

Shivam Swami

Naveh Malihi

Poorna Kale

Fa-Long Luo

Sanjay Tiwari

Amit Gattani

Scott Matthew Stephens

Frank F Ross

John Labry

One example of the present disclosure includes performing a comparison operation in memory using a logical representation of a first value stored in a first portion of a number of memory cells coupled to a sense line of a memory array and a logical representation of a second value stored in a second portion of the number of memory cells coupled to the sense line of the memory array. The comparison operation compares the first value to the second value, and the method can include storing a logical representation of a result of the comparison operation in a third portion of the number of memory cells coupled to the sense line of the memory array.

Comparison operations in memory

Apparatuses and methods related to computer memory access determination are described. A command can be received at a memory system (e.g., a system with or exploiting DRAM). The command can comprise a memory operation and a plurality of privilege bits. The privilege level or a memory address that is associated with the memory operation can be identified. The privilege level can correspond to the memory address can describe a privilege level that can access the memory address. A determination can be made as to whether the memory operation, or the application requesting certain data or prompting corresponding instructions, is entitled to access to the memory address using the plurality of privilege bits and the privilege level. Responsive to determining that the memory operation has access to the memory address, the memory operation can be processed.

Memory access determination

Apparatuses and methods can be related to implementing a conditional write back scheme for memory. The data may be stored by memory cells of a memory array. The data may be moved to sense circuitry. The data can be conditionally held by the sense circuitry while a plurality of operations is performed. The results of the plurality of operations can dictate whether to commit the data to the memory cells.

Conditional write back scheme for memory

Apparatuses and methods related to mitigating unauthorized memory access are described. Mitigating unauthorized memory access can include verifying whether an access command is authorized to access a protected region of a memory array. The authorization can be verified utilizing a key and a memory address corresponding to the access command. If an access command is authorized to access a protected region, then a row of the memory array corresponding to the access command can be activated. If an access command is not authorized to access the protected region, then a row of the memory array corresponding to the access command may not be activated.

Unauthorized memory access mitigation

The present disclosure includes apparatuses and methods related to scatter/gather in a memory device. An example apparatus comprises a memory device that includes an array of memory cells, sensing circuitry, and a memory controller coupled to one another. The sensing circuitry includes a sense amplifier and a compute component configured to implement logical operations. A channel controller is configured to receive a block of instructions, the block of instructions including individual instructions for at least one of a gather operation and a scatter operation. The channel controller is configured to send individual instructions to the memory device and to control the memory controller such that the at least one of the gather operation and the scatter operation is executed on the memory device based on a corresponding one of the individual instructions.

Apparatuses and methods for scatter and gather

Examples of the present disclosure provide apparatuses and methods related to generating and executing a control flow. An example apparatus can include a first device configured to generate control flow instructions, and a second device including an array of memory cells, an execution unit to execute the control flow instructions, and a controller configured to control an execution of the control flow instructions on data stored in the array.

Generating and executing a control flow

Systems, apparatuses, and methods related to host-based error correction are described. Error correction operations can be performed on a host computing system as opposed to on a memory system. For instance, data containing erroneous bits can be transferred from a memory system to a host computing system and error correction operations can be performed using circuitry resident on the host computing system. In an example, a method can include receiving, by a host computing system, data that comprises a plurality of uncorrected bits from a memory system coupleable to the host computing system, determining an acceptable error range for the data based at least in part on an application associated with the data, and performing, using error correction logic resident on the host computing system, an initial error correction operation on the data based at least in part on the acceptable error range.

Host-based error correction

Systems, apparatuses, and methods related to a neuron using posits are described. An example apparatus may include a memory array including a plurality of memory cells configured to store data. The data can include a plurality of bit strings. The example apparatus may include a neuron component coupled to the memory array. The neuron component can include neuron circuitry configured to perform neuromorphic operations on at least one of the plurality of bit strings.

Neuron using posits

Systems, apparatuses, and methods related to a neuron built with posits are described. An example system may include a memory device and the memory device may include a plurality of memory cells. The plurality of memory cells can store data including a bit string in an analog format. A neuromorphic operation can be performed on the data in the analog format. The example system may include an analog to digital converter coupled to the memory device. The analog to digital converter may convert the bit string in the analog format stored in at least one of the plurality of memory cells to a format that supports arithmetic operations to a particular level of precision.

Neuromorphic operations using posits

Apparatuses and methods can be related to supplementing AI processing in memory. An accelerator and/or a host can perform AI processing. Some of the operations comprising the AI processing can be performed by a memory device instead of by an accelerator and/or a host. The memory device can perform AI processing in conjunction with the host and/or accelerator.

Supplemental AI processing in memory

The present disclosure includes apparatuses and methods for compute enabled cache. An example apparatus comprises a compute component, a memory and a controller coupled to the memory. The controller configured to operate on a block select and a subrow select as metadata to a cache line to control placement of the cache line in the memory to allow for a compute enabled cache.

Apparatuses and methods for compute enabled cache

Apparatus and methods are disclosed, including memory devices and systems. Example memory devices, systems and methods include a stack of memory dies, a controller die, and a buffer. Example memory devices, systems and methods include one or more neuromorphic layers logically coupled between one or more dies in the stack of memory dies and a host interface of the controller die.

Neuromorphic memory device and method

Apparatuses and methods are provided for logic/memory devices. An example apparatus comprises a plurality of memory components adjacent to and coupled to one another. A logic component is coupled to the plurality of memory components. At least one memory component comprises a memory device having an array of memory cells and sensing circuitry coupled to the array. The sensing circuitry includes a sense amplifier and a compute component. Timing circuitry is coupled to the array and sensing circuitry and configured to control timing of operations for the sensing circuitry. The logic component comprises control logic coupled to the timing circuitry. The control logic is configured to execute instructions to cause the sensing circuitry to perform the operations.

Growing community of inventors

Boise, ID, United States of America

Richard Cameron Murphy