Abstract: Examples of the present disclosure provide apparatuses and methods for error code calculation. The apparatus can include an array of memory cells that are coupled to sense lines. The apparatus can include a controller configured to control a sensing circuitry, that is coupled to the sense lines, to perform a number of operations without transferring data via an input/output (I/O) lines. The sensing circuitry can be controlled to calculate an error code for data stored in the array of memory cells and compare the error code with an initial error code for the data to determine whether the data has been modified.

Abstract: The present disclosure includes apparatuses and methods for in-memory 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 first sensing circuitry coupled to the first subset, the first sensing circuitry including a sense amplifier and a compute component configured to perform an in-memory operation. The memory device includes second sensing circuitry coupled to the second subset, the second sensing circuitry including a sense amplifier. The memory device also includes a controller configured to direct a first movement of a data value to a selected subarray in the first subset based on the first sensing circuitry including the compute component.

Abstract: The present disclosure includes apparatuses and methods for performing operations by a memory device in a self-refresh state. An example includes an array of memory cells and a controller coupled to the array of memory cells. The controller is configured to direct performance of compute operations on data stored in the array when the array is in a self-refresh state.

Abstract: Apparatuses and methods are provided for processing in memory. An example apparatus includes a processing in memory (PIM) capable device having an array of memory cells and sensing circuitry coupled to the array. The PIM capable includes a row address strobe (RAS) component selectably coupled to the array. The RAS component is configured to select, retrieve a data value from, and input a data value to a specific row in the array. The PIM capable device also includes a RAS manager selectably coupled to the RAS component. The RAS manager is configured to coordinate timing of a sequence of compute sub-operations performed using the RAS component. The apparatus also includes a source external to the PIM capable device. The RAS manager is configured to receive instructions from the source to control timing of performance of a compute operation using the sensing circuitry.

Abstract: The present disclosure includes apparatuses and methods for simultaneous in data path compute operations. An apparatus can include a memory device having an array of memory cells and sensing circuitry selectably coupled to the array. A plurality of shared I/O lines can be configured to move data from the array of memory cells to a first portion of logic stripes and a second portion of logic stripes for in data path compute operations associated with the array. The first portion of logic stripes can perform a first number of operations on a first portion of data moved from the array of memory cells to the first portion of logic stripes while the second portion of logic stripes perform a second number of operations on a second portion of data moved from the array of memory cells to the second portion of logic stripes during a first time period.

Abstract: Examples of the present disclosure provide apparatuses and methods for error code calculation. The apparatus can include an array of memory cells that are coupled to sense lines. The apparatus can include a controller configured to control a sensing circuitry, that is coupled to the sense lines, to perform a number of operations without transferring data via an input/output (I/O) lines. The sensing circuitry can be controlled to calculate an error code for data stored in the array of memory cells and compare the error code with an initial error code for the data to determine whether the data has been modified.

Abstract: The present disclosure includes apparatuses and methods for operations using compressed and decompressed data. An example method includes receiving compressed data to a processing in memory (PIM) device and decompressing the compressed data on the PIM device.

Abstract: The present disclosure includes apparatuses and methods for operating neural networks. An example apparatus includes a plurality of neural networks, wherein the plurality of neural networks are configured to receive a particular portion of data and wherein each of the plurality of neural networks are configured to operate on the particular portion of data during a particular time period to make a determination regarding a characteristic of the particular portion of data.

Abstract: The present disclosure includes apparatuses and methods for performing operations by a memory device in a self-refresh state. An example includes an array of memory cells and a controller coupled to the array of memory cells. The controller is configured to direct performance of compute operations on data stored in the array when the array is in a self-refresh state.

Abstract: An example apparatus includes a processing in memory (PIM) capable device having an array of memory cells and sensing circuitry coupled to the array. The PIM capable includes a row address strobe (RAS) component selectably coupled to the array. The RAS component is configured to select, retrieve a data value from, and input a data value to a specific row in the array. The PIM capable device also includes a RAS manager selectably coupled to the RAS component. The RAS manager is configured to coordinate timing of a sequence of compute sub-operations performed using the RAS component. The apparatus also includes a source external to the PIM capable device. The RAS manager is configured to receive instructions from the source to control timing of performance of a compute operation using the sensing circuitry.

Abstract: An example memory array page table walk can include using an array of memory cells configured to store a page table. The page table walk can include using sensing circuitry coupled to the array. The page table walk can include using a controller coupled to the array. The controller can be configured to operate the sensing circuitry to determine a physical address of a portion of data by accessing the page table in the array of memory cells. The controller can be configured to operate the sensing circuitry to cause storing of the portion of data in a buffer.

Abstract: Apparatuses and methods are provided for processing in memory. An example apparatus comprises a host and a processing in memory (PIM) capable device coupled to the host via an interface comprising a sideband channel. The PIM capable device comprises an array of memory cells coupled to sensing circuitry and is configured to perform bit vector operations on data stored in the array, and the host comprises a PIM control component to perform virtual address resolution for PIM operations prior to providing a number of corresponding bit vector operations to the PIM capable device via the sideband channel.

Abstract: The present disclosure includes apparatuses and methods for operating neural networks. An example apparatus includes a plurality of neural networks, wherein the plurality of neural networks are configured to receive a particular portion of data and wherein each of the plurality of neural networks are configured to operate on the particular portion of data during a particular time period to make a determination regarding a characteristic of the particular portion of data.

Abstract: The present disclosure includes apparatuses and methods for operating neural networks. An example apparatus includes a plurality of neural networks, wherein the plurality of neural networks are configured to receive a particular portion of data and wherein each of the plurality of neural networks are configured to operate on the particular portion of data during a particular time period to make a determination regarding a characteristic of the particular portion of data.

Abstract: An example memory array page table walk can include using an array of memory cells configured to store a page table. The page table walk can include using sensing circuitry coupled to the array. The page table walk can include using a controller coupled to the array. The controller can be configured to operate the sensing circuitry to determine a physical address of a portion of data by accessing the page table in the array of memory cells. The controller can be configured to operate the sensing circuitry to cause storing of the portion of data in a buffer.

Abstract: Apparatuses and methods are provided for processing in memory. An example apparatus comprises a host and a processing in memory (PIM) capable device coupled to the host via an interface comprising a sideband channel. The PIM capable device comprises an array of memory cells coupled to sensing circuitry and is configured to perform bit vector operations on data stored in the array, and the host comprises a PIM control component to perform virtual address resolution for PIM operations prior to providing a number of corresponding bit vector operations to the PIM capable device via the sideband channel.

Abstract: The present disclosure includes apparatuses and methods for in data path compute operations. An example apparatus includes an array of memory cells. Sensing circuitry is selectably coupled to the array. A plurality of shared input/output (I/O) lines provides a data path. The plurality of shared I/O lines selectably couples a first subrow of a row of the array via the sensing circuitry to a first compute component in the data path to move a first data value from the first subrow to the first compute component and a second subrow of the respective row via the sensing circuitry to a second compute component to move a second data value from the second subrow to the second compute component. An operation is performed on the first data value from the first subrow using the first compute component substantially simultaneously with movement of the second data value from the second subrow to the second compute component.

Abstract: The present disclosure includes apparatuses and methods for operations using compressed and decompressed data. An example method includes receiving compressed data to a processing in memory (PIM) device and decompressing the compressed data on the PIM device.

Abstract: The present disclosure includes apparatuses and methods for data movement. An example apparatus includes a memory device that includes a plurality of subarrays of memory cells and sensing circuitry coupled to the plurality of subarrays. The sensing circuitry includes a sense amplifier and a compute component. The memory device also includes a plurality of subarray controllers. Each subarray controller of the plurality of subarray controllers is coupled to a respective subarray of the plurality of subarrays and is configured to direct performance of an operation with respect to data stored in the respective subarray of the plurality of subarrays. The memory device is configured to move a data value corresponding to a result of an operation with respect to data stored in a first subarray of the plurality of subarrays to a memory cell in a second subarray of the plurality of subarrays.

Abstract: Apparatuses and methods are provided for in-memory operations. An example apparatus includes a PIM capable device having an array of memory cells and sensing circuitry coupled to the array, where the sensing circuitry includes a sense amplifier and a compute component. The PIM capable device includes timing circuitry selectably coupled to the sensing circuitry. The timing circuitry is configured to control timing of performance of operations performed using the sensing circuitry. The PIM capable device also includes a sequencer selectably coupled to the timing circuitry. The sequencer is configured to coordinate compute operations. The apparatus also includes a source external to the PIM capable device. The sequencer is configured to receive a command instruction set from the source to initiate performance of a compute operation.