Abstract: The present disclosure includes apparatuses and methods related to mask patterns generated in memory from seed vectors. An example method includes performing operations on a plurality of data units of a seed vector and generating, by performance of the operations, a vector element in a mask pattern.

Abstract: The present disclosure includes apparatuses and methods for computing reduction and prefix sum operations in memory. A number of embodiments include processing circuitry configured to compute a reduction operation on data stored in a group of memory cells by splitting the data into a plurality of elements, copying each of the plurality of elements into elements that are wider than before being copied, and performing a logical operation associated with the reduction operation on each of the copied elements.

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: The present disclosure includes apparatuses and methods for data replication. An example apparatus includes a plurality of sensing circuitries comprising respective sense amplifiers and compute components and a controller. The controller may be configured to cause replication of a data value stored in a first compute component such that the data value is propagated to a second compute component.

Abstract: The present disclosure includes apparatuses and methods for partitioned parallel data movement. An example apparatus includes a memory device that includes a plurality of partitions, where each partition of the plurality of partitions includes a subset of a plurality of subarrays of memory cells. The memory device also includes sensing circuitry coupled to the plurality of subarrays, the sensing circuitry including a sense amplifier. A controller for the memory device is configured to direct a first data movement within a first partition of the plurality of partitions in parallel with a second data movement within a second partition of the plurality of partitions.

Abstract: The present disclosure includes apparatuses and methods to change data category values. An example is a memory device that includes an array having a plurality of sequences of memory cells, where each of the respective sequences of memory cells includes a plurality of designated subsets of memory cells, and the array includes a counter corresponding to one of the plurality of designated subsets of memory cells. The memory device is configured to receive input corresponding to a data batch, where the input includes a designation that corresponds to the one of the plurality of designated subsets of memory cells to be conditionally updated, and to change a numerical value stored by the counter corresponding to the one of the plurality of designated subsets of memory cells.

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 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: 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 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: The present disclosure includes apparatuses and methods for computing reduction and prefix sum operations in memory. A number of embodiments include processing circuitry configured to compute a reduction operation on data stored in a group of memory cells by splitting the data into a plurality of elements, copying each of the plurality of elements into elements that are wider than before being copied, and performing a logical operation associated with the reduction operation on each of the copied elements.

Abstract: The present disclosure includes apparatuses and methods to change data category values. An example is a memory device that includes an array having a plurality of sequences of memory cells, where each of the respective sequences of memory cells includes a plurality of designated subsets of memory cells, and the array includes a counter corresponding to one of the plurality of designated subsets of memory cells. The memory device is configured to receive input corresponding to a data batch, where the input includes a designation that corresponds to the one of the plurality of designated subsets of memory cells to be conditionally updated, and to change a numerical value stored by the counter corresponding to the one of the plurality of designated subsets of memory cells.

Abstract: The present disclosure includes apparatuses and methods related to mask patterns generated in memory from seed vectors. An example method includes performing operations on a plurality of data units of a seed vector and generating, by performance of the operations, a vector element in a mask pattern.

Abstract: The present disclosure includes apparatuses and methods for partitioned parallel data movement. An example apparatus includes a memory device that includes a plurality of partitions, where each partition of the plurality of partitions includes a subset of a plurality of subarrays of memory cells. The memory device also includes sensing circuitry coupled to the plurality of subarrays, the sensing circuitry including a sense amplifier. A controller for the memory device is configured to direct a first data movement within a first partition of the plurality of partitions in parallel with a second data movement within a second partition of the plurality of partitions.

Abstract: The present disclosure includes apparatuses and methods to determine timing of operations. An example method includes performing a first operation type that uses a shared resource in a memory device. The method includes applying a scheduling policy for timing of continued performance of the first operation type based upon receipt of a request to the memory device for performance of a second operation type that uses the shared resource.

Abstract: Examples of the present disclosure provide apparatuses and methods for multiple endianness compatibility. An example method comprises receiving a plurality of bytes in a non-bit-sequential format. The method includes reordering the bits in each byte of the plurality of bytes such that the plurality of bytes are arranged in a bit-sequential format.

Abstract: Examples of the present disclosure provide apparatuses and methods for multiple endianness compatibility. An example method comprises receiving a plurality of bytes and determining a particular endianness format of the plurality of bytes. The method can include, responsive to determining the particular endianness format is a first endianness format, reordering bits of each byte of the plurality of bytes on a bytewise basis, storing the reordered plurality of bytes in an array of memory cells, and adjusting a shift direction associated with performing a number of operations on the plurality of bytes stored in the array. The method can include, responsive to determining the particular endianness format is a second endianness format, storing the plurality of bytes in the array without reordering bits of the plurality of bytes.

Abstract: The present disclosure includes apparatuses and methods to change data category values. An example is a memory device that includes an array having a plurality of sequences of memory cells, where each of the respective sequences of memory cells includes a plurality of designated subsets of memory cells, and the array includes a counter corresponding to one of the plurality of designated subsets of memory cells. The memory device is configured to receive input corresponding to a data batch, where the input includes a designation that corresponds to the one of the plurality of designated subsets of memory cells to be conditionally updated, and to change a numerical value stored by the counter corresponding to the one of the plurality of designated subsets of memory cells.

Abstract: The present disclosure includes apparatuses and methods related to mask patterns generated in memory from seed vectors. An example method includes performing operations on a plurality of data units of a seed vector and generating, by performance of the operations, a vector element in a mask pattern.

Abstract: The present disclosure includes apparatuses and methods for computing reduction and prefix sum operations in memory. A number of embodiments include processing circuitry configured to compute a reduction operation on data stored in a group of memory cells by splitting the data into a plurality of elements, copying each of the plurality of elements into elements that are wider than before being copied, and performing a logical operation associated with the reduction operation on each of the copied elements.