Abstract: The present disclosure includes apparatuses and methods for cache operations. An example apparatus includes a memory device including a plurality of subarrays of memory cells, where the plurality of subarrays includes a first subset of the respective plurality of subarrays and a second subset of the respective plurality of subarrays. The memory device includes sensing circuitry coupled to the first subset, the sensing circuitry including a sense amplifier and a compute component. The first subset is configured as a cache to perform operations on data moved from the second subset. The apparatus also includes a cache controller configured to direct a first movement of a data value from a subarray in the second subset to a subarray in the first subset.

Abstract: Systems, apparatuses, and methods related to multiple artificial neural Networks (ANNs) in memory. Such ANNs can be implemented within a memory system (including a number of memory devices) at different granularities. For example, multiple ANNs can be implemented within a single memory device and/or a single ANN can be implemented over multiple memory devices (such that multiple memory devices are configured as a single ANN). The memory system having multiple ANNs can operate each ANN independently from each other such that multiple ANN operations can be concurrently performed.

Abstract: Apparatuses and methods can be related to configuring interface protocols for memory. An interface protocol can define the commands received by a memory device utilizing pins of an interface of a memory device. An interface protocol used by a memory device can be implemented utilizing a decoder of signals provided through the pins of the memory device. The decoder utilized by a memory device can be selected by setting a mode register of the memory device.

Abstract: The present disclosure includes apparatuses and methods for compute in data path. An example apparatus includes an array of memory cells. Sensing circuitry is coupled to the array of memory cells. A shared input/output (I/O) line provides a data path associated with the array. The shared I/O line couples the sensing circuitry to a compute component in the data path of the shared I/O line.

Abstract: Apparatuses, systems, and methods for hierarchical memory systems are described. A hierarchical memory system can leverage persistent memory to store data that is generally stored in a non-persistent memory, thereby increasing an amount of storage space allocated to a computing system at a lower cost than approaches that rely solely on non-persistent memory. An example method includes initiating a read request associated with an address from an input/output device, redirecting the read request to a hierarchical memory component, generating, by the hierarchical memory component, an interrupt message to send to a hypervisor, gathering, at the hypervisor, address register access information from the hierarchical memory component, and determining a physical location of data associated with the read request.

Abstract: Systems, apparatuses, and methods related to hierarchical memory are described. A hierarchical memory system that can leverage persistent memory to store data that is generally stored in a non-persistent memory. Logic circuitry can be configured to determine that a request to access a persistent memory device corresponds to an operation to divert data from the non-persistent memory device to the persistent memory device, generate an interrupt signal, and cause the interrupt signal to be asserted on a host coupleable to the logic circuitry as part of the operation to divert data from the non-persistent memory device to the persistent memory device. Access data and control messages can be transferred between or within a memory device, including to or from a multiplexer and/or a state machine. A state machine can include logic circuitry configured to transfer interrupt request messages to and receive interrupt request messages.

Abstract: Systems, apparatuses, and methods related to arithmetic logic circuitry are described. A method utilizing such arithmetic logic circuitry can include performing, using a processing device, a first operation using one or more vectors formatted in a posit format. The one or more vectors can be provided to the processing device in a pipelined manner. The method can include performing, by executing instructions stored by a memory resource, a second operation using at least one of the one or more vectors and outputting, after a fixed quantity of time, a result of the first operation, the second operation, or both.

Abstract: The present disclosure provides methods, apparatuses, and systems for implementing and operating a memory module, for example, in a computing device that includes a network interface, which is coupled to a network to enable communication with a client device, and processing circuitry, which is coupled to the network interface via a data bus and programmed to perform operations based on user inputs received from the client device. The memory module includes memory devices, which may be non-volatile memory or volatile memory, and a memory controller coupled between the data bus and the of memory devices. The memory controller may be programmed to determine when the processing circuitry is expected to request a data block and control data storage in the memory devices.

Abstract: Apparatuses, systems, and methods for hierarchical memory systems are described. A hierarchical memory system can leverage persistent memory to store data that is generally stored in a non-persistent memory, thereby increasing an amount of storage space allocated to a computing system at a lower cost than approaches that rely solely on non-persistent memory. In an example apparatus, an input/output (I/O) device can receive signaling that includes a command to write to or read data from an address corresponding to a non-persistent memory device, and can determine where to redirect the request. For example, the I/O device can determine to write or read data to and/or from the non-persistent memory device or the persistent memory device based at least in part on one or more characteristics of the data.

Abstract: The present disclosure provides methods, apparatuses, and systems for implementing and operating a memory module, for example, in a computing device that includes a network interface, which is coupled to a network to enable communication with a client device, and processing circuitry, which is coupled to the network interface via a data bus and programmed to perform operations based on user inputs received from the client device. The memory module includes memory devices, which may be non-volatile memory or volatile memory, and a memory controller coupled between the data bus and the of memory devices. The memory controller may be programmed to determine when the processing circuitry is expected to request a data block and control data storage in the memory devices.

Abstract: The present disclosure provides techniques for implementing a computing system that includes a processing sub-system, a memory sub-system, and one or more memory controllers. The processing sub-system includes processing circuitry that performs an operation based on a target data block and a processor-side cache coupled between the processing circuitry and a system bus. The memory sub-system includes a memory that stores data blocks in a memory array and a memory-side caches coupled between the memory channel and the system bus. The one or more memory controllers control caching in the processor-side cache based at least in part on temporal relationship between previous data block targeting by the processing circuitry and control caching in memory-side cache based at least in part on spatial relationship between data block storage locations in the memory channel.

Abstract: Systems, apparatuses, and methods related to three tiered hierarchical memory systems are described herein. A three tiered hierarchical memory system can leverage persistent memory to store data that is generally stored in a non-persistent memory, thereby increasing an amount of storage space allocated to a computing system at a lower cost than approaches that rely solely on non-persistent memory. An example apparatus may include a persistent memory, and one or more non-persistent memories configured to map an address associated with an input/output (I/O) device to an address in logic circuitry prior to the apparatus receiving a request from the I/O device to access data stored in the persistent memory, and map the address associated with the I/O device to an address in a non-persistent memory subsequent to the apparatus receiving the request and accessing the data.

Abstract: The present disclosure includes apparatuses, electronic device readable media, and methods for memory controlled data movement and timing. A number of electronic device readable media can store instructions executable by an electronic device to provide programmable control of data movement operations within a memory. The memory can provide timing control, independent of any associated processor, for interaction between the memory and the associated processor.

Abstract: 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.

Abstract: 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.

Abstract: Systems, apparatuses, and methods related to extended memory operations are described. Extended memory operations can include operations specified by a single address and operand and may be performed by a computing device that includes a processing unit and a memory resource. The computing device can perform extended memory operations on data streamed through the computing tile without receipt of intervening commands. In an example, a computing device is configured to receive a command to perform an operation that comprises performing an operation on a data with the processing unit of the computing device and determine that an operand corresponding to the operation is stored in the memory resource. The computing device can further perform the operation using the operand stored in the memory resource.

Abstract: Systems, apparatuses, and methods related to multiple artificial neural networks (ANNs) in memory. Such ANNs can be implemented within a memory system (including a number of memory devices) at different granularities. For example, multiple ANNs can be implemented within a single memory device and/or a single ANN can be implemented over multiple memory devices (such that multiple memory devices are configured as a single ANN). The memory system having multiple ANNs can operate each ANN independently from each other such that multiple ANN operations can be concurrently performed.

Abstract: 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 to increase the efficiency of the host and/or accelerator.

Abstract: 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.

Abstract: Systems, apparatuses, and methods related to hierarchical memory are described. A hierarchical memory system that can leverage persistent memory to store data that is generally stored in a non-persistent memory. Logic circuitry can be configured to determine that a request to access a persistent memory device corresponds to an operation to divert data from the non-persistent memory device to the persistent memory device, generate an interrupt signal, and cause the interrupt signal to be asserted on a host coupleable to the logic circuitry as part of the operation to divert data from the non-persistent memory device to the persistent memory device. Access data and control messages can be transferred between or within a memory device, including to or from a multiplexer and/or a state machine. A state machine can include logic circuitry configured to transfer interrupt request messages to and receive interrupt request messages.