A digital data processor includes an instruction memory storing instructions specifying a data processing operation and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and to an instruction decoder to perform a data processing operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the data processing operation. The operational unit is configured to perform a table write in response to a look up table initialization instruction by duplicating at least one data element from a source data register to create duplicated data elements, and writing the duplicated data elements to a specified location in a specified number of at least one table and a corresponding location in at least one other table.

Systems, devices, and methods related to a Deep Learning Accelerator and memory are described. An edge server may be configured on a local area network to receive sensor data of a person, such as a patient in a hospital or care center. The edge server may be implemented using an integrated circuit device having: a Deep Learning Accelerator configured to execute instructions with matrix operands; and random access memory configured to store first instructions of an Artificial Neural Network executable by the Deep Learning Accelerator and second instructions of a server application executable by a Central Processing Unit. An output of the Artificial Neural Network with the sensor data as input may identify a condition of the person, based on which the server application generates an alert, causing a central server to request intervention of the detected or predicted condition for the person.

A processor has first, second and third ALUs. The first ALU has on a first side an input and an output. The second ALU has a first side facing the first side of the first ALU, an input and an output on the first side of the second ALU and being in a rotated orientation relative to the input and the output of the first side of the first ALU, and an output on a second side of the second ALU. The third ALU has a first side facing the second side of the second ALU, and an input and an output on the first side of the third ALU. The input of the first side of the first ALU is logically directly connected to the output of the first side of the second ALU.

The present disclosure provides a processing device and method. The device includes: an input/output module, a controller module, a computing module, and a storage module. The input/output module is configured to store and transmit input and output data; the controller module is configured to decode a computation instruction into a control signal to control other modules to perform operation; the computing module is configured to perform four arithmetic operation, logical operation, shift operation, and complement operation on data; and the storage module is configured to temporarily store instructions and data. The present disclosure can execute a composite scalar instruction accurately and efficiently.

Embodiments described herein enable the interoperability between processes configured for pointer authentication and processes that are not configured for pointer authentication. Enabling the interoperability between such processes enables essential libraries, such as system libraries, to be compiled with pointer authentication, while enabling those libraries to still be used by processes that have not yet been compiled or configured to use pointer authentication.

Systems, methods, and apparatuses relating to performing hashing operations on packed data elements are described. In one embodiment, a processor includes a decode circuit to decode a single instruction into a decoded single instruction, the single instruction including at least one first field that identifies eight 32-bit state elements A, B, C, D, E, F, G, and H for a round according to a SM3 hashing standard and at least one second field that identifies an input message; and an execution circuit to execute the decoded single instruction to: rotate state element C left by 9 bits to form a rotated state element C, rotate state element D left by 9 bits to form a rotated state element D, rotate state element G left by 19 bits to form a rotated state element G, rotate state element H left by 19 bits to form a rotated state element H, perform two rounds according to the SM3 hashing standard on the input message and state element A, state element B, rotated state element C, rotated state element D, state element E, state element F, rotated state element G, and rotated state element H to generate an updated state element A, an updated state element B, an updated state element E, and an updated state element F, and store the updated state element A, the updated state element B, the updated state element E, and the updated state element F into a location specified by the single instruction.

In general, the disclosure describes techniques for configuring a forwarding path of a network device. For example, a network device system includes a compiler. The compiler is configured to receive text comprising syntax elements in an arrangement that indicates a topology for a plurality of nodes. Additionally, the compiler is configured to generate, based on the text, code for instantiating the plurality of and compile the code to generate a software image. The network device system includes a network device comprising a forwarding manager configured to execute the software image to configure a forwarding path to include the corresponding forwarding path elements for each of the plurality of nodes. Additionally, the network device system includes at least one packet processor operably coupled to a memory, wherein the at least one packet processor is configured to process packets received by the forwarding unit by executing the forwarding path elements.

Systems, apparatuses, and methods related to bit string compression are described. A method for bit string compression can include determining that a particular operation is to be performed using a bit string formatted according to a universal number format or a posit format to alter a bit width associated with the bit string from a first bit width to a second bit width and performing a compression operation on a bit string formatted according to a universal number format or a posit format to alter a bit width associated with the bit string from a first bit width to a second bit width. The method can further include writing the bit string having the second bit width to a first register, performing an arithmetic operation or a logical operation, or both using the bit string having the second bit string width, and monitoring a quantity of bits of a result of the operation.

A digital data processor includes an instruction memory storing instructions specifying a data processing operation and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and to an instruction decoder to perform a data processing operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the data processing operation. The operational unit is configured to perform a table write in response to a look up table initialization instruction by duplicating at least one data element from a source data register to create duplicated data elements, and writing the duplicated data elements to a specified location in a specified number of at least one table and a corresponding location in at least one other table.

A semiconductor device may include a programmable fabric and a processor. The processor may utilize one or more extension architectures. At least one of these extension architectures may be used to integrate and/or embed the programmable fabric into the processor as part of the processor. Systems and methods for transitioning data between the programmable fabric and the processor associated with different clock domains is described.