Abstract: Systems, apparatuses, and methods related to bit string operations using a computing tile are described. An example apparatus includes a plurality of computing devices (or “tiles”) coupled to a controller (e.g., and “orchestration controller”) and an interface. The controller can include circuitry to request data comprising a bit string having a first format that supports arithmetic operations to a first level of precision from a memory device (e.g., a memory array) coupled to the apparatus and cause the processing unit of at least one computing device of the plurality of computing devices to perform an operation in which the bit string is converted to a second format that supports arithmetic operations to a second level of precision that is different from the first level of precision.

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 hierarchical memory are described herein. A hierarchical memory apparatus can be part of a memory system that can leverage persistent memory to store data that is generally stored in a non-persistent memory. An example apparatus includes logic circuitry configured to receive a command indicating that an access to a base address register coupled to the logic circuitry has occurred. The command can be indicative of a data access involving a persistent memory device and/or a non-persistent memory device. The logic circuitry can determine that the access command 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.

Abstract: Systems, apparatuses, and methods related to a memory array data structure for posit operations are described. Universal number (unum) bit strings, such as posit bit string operands and posit bit strings representing results of arithmetic and/or logical operations performed using the posit bit string operands may be stored in a memory array. Circuitry deployed in a memory device may access the memory array to retrieve the unum bit string operands and/or the results of the arithmetic and/or logical operations performed using the unum bit string operands from the memory array. For instance, an arithmetic operation and/or a logical operation may be performed using a first unum bit string stored in the memory array and a second unum bit string stored in the memory array. The result of the arithmetic operation and/or the logical operation may be stored in the memory array and subsequently retrieved.

Abstract: Systems, apparatuses, and methods related to bit string conversion are described. A memory resource and/or logic circuitry may be used in performance of bit string conversion operations. The logic circuitry can perform operations on bit strings, such as universal number and/or posit bit strings, to alter a level of precision (e.g., a dynamic range, resolution, etc.) of the bit strings. For instance, the memory resource can receive data comprising a bit string having a first quantity of bits that correspond to a first level of precision. The logic circuitry can alter the first quantity of bits to a second quantity of bits that correspond to a second level of precision.

Abstract: Systems, apparatuses, and methods related to bit string conversion are described. A memory resource and/or logic circuitry may be used in performance of bit string conversion operations. The logic circuitry can perform operations on bit strings, such as universal number and/or posit bit strings, to alter a level of precision (e.g., a dynamic range, resolution, etc.) of the bit strings. For instance, the memory resource can receive data comprising a bit string having a first quantity of bits that correspond to a first level of precision. The logic circuitry can determine that the bit string having the first quantity of bits has a particular data pattern and alter the first quantity of bits to a second quantity of bits that correspond to a second level of precision based, at least in part, on the determination that the bit string has the particular data pattern.

Abstract: Systems, apparatuses, and methods related to bit string conversion are described. Circuitry can perform operations on bit strings, such as universal number and/or posit bit strings, to alter a level of precision (e.g., a dynamic range, resolution, etc.) of the bit strings. For instance, bit string conversion can include receiving, by a memory resource coupled to logic circuitry, a first bit string having a first bit string length. The first quantity of bits can comprise a first bit sub-set, a second bit sub-set, a third bit sub-set, and a fourth bit sub-set. The logic circuitry monitor numerical values corresponding to at least one bit sub-set of the bit string to determine a dynamic range corresponding to the data and/or precision corresponding to the data and generate a second bit string having a second bit string length based, at least in part, on the determined dynamic range of the data, the precision of the data.

Abstract: Systems, apparatuses, and methods related to storage device operation orchestration are described. A plurality of computing devices (or “tiles”) can be coupled to a controller (e.g., an “orchestration controller”) and an interface. The controller can control operation of the computing devices. For instance, the controller can include circuitry to request a block of data from a memory device coupled to the apparatus, cause a processing unit of at least one computing device of the plurality of computing devices to perform an operation on the block of data in which at least some of the data is ordered, reordered, removed, or discarded, and cause, after some of the data is ordered, reordered, removed, or discarded, the block of data to be transferred to the interface coupled to the plurality of computing devices.

Abstract: Systems, apparatuses, and methods related to acceleration circuitry are described. The acceleration circuitry may be deployed in a memory device and can include a memory resource and/or logic circuitry. The acceleration circuitry can perform operations on data to convert the data between one or more numeric formats, such as floating-point and/or universal number (e.g., posit) formats. The acceleration circuitry can perform arithmetic and/or logical operations on the data after the data has been converted to a particular format. For instance, the memory resource can receive data comprising a bit string having a first format that provides a first level of precision. The logic circuitry can receive the data from the memory resource and convert the bit string to a second format that provides a second level of precision that is different from the first level of precision.

Abstract: Systems, apparatuses, and methods related to arithmetic and logical operations in a multi-user network are described. Circuitry may be part of a pool of shared computing resources in a multi-user network. Data (e.g., one or more bit strings) received by the circuitry may be selectively operated upon. The circuitry can perform operations on data to convert the data between one or more formats, such as floating-point and/or universal number (e.g., posit) formats and can further perform arithmetic and/or logical operations on the converted data. For instance, the circuitry may be configured to receive a request to perform an arithmetic operation and/or a logical operation using at least one posit bit string operand. The request can include a parameter corresponding to performance of the operation. The circuitry can perform the arithmetic operation and/or the logical operation based, at least in part, on the parameter.

Abstract: Systems, apparatuses, and methods related to arithmetic and logical operations in a multi-user network are described. An agent may be provisioned with a pool of shared computing resources that includes circuitry to perform operations on data (e.g., one or more posit bit strings) in a multi-user network. The circuitry can perform operations on data to convert the data between one or more formats, such as floating-point and/or universal number (e.g., posit) formats, and can further perform arithmetic and/or logical operations on the converted data. The agent may receive a parameter corresponding to performance of an arithmetic operation and/or a logical operation using one or more posit bit strings and cause performance of the arithmetic operation and/or the logical operation using the one or more posit bit strings.

Abstract: Systems, apparatuses, and methods related to host-based bit string conversion are described. A conversion component may be deployed on a host computing system and configured to perform operations on bit strings to selectively convert the bit string between various numeric formats, such as floating-point and/or universal number (e.g., posit) formats. The conversion component may comprise a processing device that may be coupled to one or more memory resources. The memory resource of the conversion component may be configured to receive a bit string having a first format. The processing device of the conversion component coupled to the memory resource may be configured to format or convert the bit string to a second format.

Abstract: Systems, apparatuses, and methods related to a computing tile are described. The computing tile may perform operations on received data to extract some of the received data. The computing tile may perform operations without intervening commands. The computing tile may perform operations on data streamed through the computing tile to extract relevant data from data received by the computing tile. In an example, the computing tile is configured to receive a command to initiate an operation to reduce a size of a block of data from a first size to a second size. The computing tile can then receive a block of data from a memory device coupled to the apparatus. The computing tile can then perform an operation on the block of data to extract predetermined data from the block of data to reduce a size of the block of data from a first size to a second size.