Abstract: An apparatus of an aspect includes a plurality of cores and shared core extension logic coupled with each of the plurality of cores. The shared core extension logic has shared data processing logic that is shared by each of the plurality of cores. Instruction execution logic, for each of the cores, in response to a shared core extension call instruction, is to call the shared core extension logic. The call is to have data processing performed by the shared data processing logic on behalf of a corresponding core. Other apparatus, methods, and systems are also disclosed.

Abstract: In one embodiment, a matrix operation may be performed on one or more matrix operands. For example, matrix data may be received from a multi-dimensional memory, wherein the matrix data is associated with the one or more matrix operands. The one or more matrix operands may be extracted from the matrix data. A matrix routine associated with the matrix operation may be identified. The matrix routine may be executed on a matrix processor using the one or more matrix operands. A result of the matrix operation may be obtained based on the matrix routine executed by the matrix processor.

Abstract: A computer program product for implementing a received add program counter immediate shift (ADDPCIS) instruction using a micro-coded or cracked sequence is provided. The computer program product includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and executable by a processing circuit to cause the processing circuit to recognize register operand and integer terms associated with the ADDPCIS instruction, set a value of a target register associated with the ADDPCIS instruction in accordance with the integer term summed with another term by obtaining a next instruction address (NIA), moving an architecturally defined register file from a first temporary register to a general purpose register and adding a shifted immediate constant to a value stored in a second temporary register.

Abstract: In a quantum processor some couplers couple a given qubit to a nearest neighbor qubit (e.g., vertically and horizontally in an ordered 2D array), other couplers couple to next-nearest neighbor qubits (e.g., diagonally in the ordered 2D array). Couplers may include half-couplers, to selectively provide communicative coupling between a given qubit and other qubits, which may or may not be nearest or even next-nearest-neighbors. Tunable couplers selective mediate communicative coupling. A control system may impose a connectivity on a quantum processor, different than an “as designed” or “as manufactured” physical connectivity. Imposition may be via a digital processor processing a working or updated working graph, to map or embed a problem graph. A set of exclude qubits may be created from a comparison of hardware and working graphs. An annealing schedule may adjust a respective normalized inductance of one or more qubits, for instance to exclude certain qubits.

Abstract: A computer program product for implementing a received add program counter immediate shift (ADDPCIS) instruction using a micro-coded or cracked sequence is provided. The computer program product includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and executable by a processing circuit to cause the processing circuit to recognize register operand and integer terms associated with the ADDPCIS instruction, set a value of a target register associated with the ADDPCIS instruction in accordance with the integer term summed with another term by obtaining a next instruction address (NIA), moving an architecturally defined register file from a first temporary register to a general purpose register and adding a shifted immediate constant to a value stored in a second temporary register.

Abstract: Provided are systems and methods for transposing a tensor using processing element array operations. In some cases, it may be necessary to transpose elements of a tensor to perform a matrix operation. The tensor may be decomposed into blocks of data elements having dimensions consistent with the dimensions of a systolic array. An identity multiplication may be performed on each block of data elements loaded into a systolic array and the multiplication products summed in column partitions of a results buffer. The data elements in the column partitions of results buffer can then be mapped to row partitions of a buffer memory for further processing.

Abstract: A processor includes a decode circuit to decode an instruction into a decoded instruction and an execution circuit to execute the decoded instruction to access a first bit of a first input vector located at a bit position indicated by an element of a second input vector, stride over bits of the first input vector using a stride to access bits of the first input vector that are located at a strided bit position with respect to the first bit of the first input vector, and store the first bit of the first input vector and the bits of the first input vector that are located at a strided bit position with respect to the first bit of the first input vector as consecutive bits in a destination vector.

Abstract: A processor includes a front end to receive an instruction. The processor also includes a core to execute the instruction. The core includes logic to execute a base function of the instruction to yield a result, generate a predicate value of a comparison of the result based upon a predication setting in the instruction, and set the predicate value in a register. The processor also includes a retirement unit to retire the instruction.

Abstract: Embodiments detailed herein relate to matrix operations. In particular, tile diagonal support is described. For example, a processor is detailed having decode circuitry to decode an instruction having fields for an opcode, a source operand identifier, and a destination matrix operand identifier; and execution circuitry to execute the decoded instruction to write the identified source operand to each element along a main diagonal of the identified destination matrix operand.

Abstract: A Vector Galois Field Multiply Sum and Accumulate instruction. Each element of a second operand of the instruction is multiplied in a Galois field with the corresponding element of the third operand to provide one or more products. The one or more products are exclusively ORed with each other and exclusively ORed with a corresponding element of a fourth operand of the instruction. The results are placed in a selected operand.

Abstract: There is provided an apparatus that includes processing circuitry for performing processing operations specified by program instructions and a target register that stores a target program address. A value register stores a data value. There is also provided an architectural register and an instruction decoder that decodes the program instructions to generate control signals to control the processing circuitry to perform the processing operations. The instruction decoder includes branch instruction decoding circuitry that decodes a register restoring branch instruction to cause the processing circuitry to determine whether the target program address and the data value are valid. If the target program address and the data value are both valid then the processing circuitry is caused to branch to the target program address and update the architectural register to store the data value. Otherwise an error action is taken.

Abstract: A vector processor includes: a temporary storage device configured to retain a plurality of elements representing data used at the time of performing an operation appropriate for an instruction; a data type determining part configured to determine what data type the elements retained by the temporary storage device are to be handled as among predetermined data types, in accordance with the instruction; and an output destination deciding part configured to decide an output destination of each of the elements stored by the temporary storage device, based on the result of determination by the data type determining part. The vector processor is configured to output each of the elements to the output destination decided by the output destination deciding part, thereby performing the operation.

Abstract: An electronic device including a memory; and a processor configured to generate an instruction code based on a same opcode when the same opcode is used in one or more slots defined in the memory upon application compiling.

Abstract: An apparatus and method are provided for making predictions for branch instructions. The apparatus has a prediction queue for identifying instructions to be fetched for execution, and branch prediction circuitry for making predictions in respect of branch instructions, and for controlling which instructions are identified in the prediction queue in dependence on the predictions. During each prediction iteration, the branch prediction circuitry makes a prediction for a predict block comprising a sequence of M instructions. The branch prediction circuitry comprises a target prediction storage having a plurality of entries that are used to identify target addresses for branch instructions that are predicted as taken, the target prediction storage being arranged as an N-way set associative storage structure comprising a plurality of sets. Each predict block has an associated set within the target prediction storage.

Abstract: Embodiments of systems, apparatuses, and methods for broadcast arithmetic in a processor are described.

Abstract: A processor is disclosed that performs pipelining which processes a plurality of threads and executes instructions in concurrent processing, the instructions corresponding to thread numbers of the threads and including a branch instruction. The processor may include a pipeline processor, which includes a fetch part that fetches the instruction of the thread having an execution right, and a computation execution part that executes the instruction fetched by the fetch part. The processor may include a branch controller that determines whether to drop an instruction subsequent to the branch instruction within the pipeline processor based on the thread number of the thread where the branch instruction is executed and on the thread number of the subsequent instruction.

Abstract: A method and apparatus for simulating target program code on a host data processing apparatus, the simulation mapping load-exclusive instructions in the target program code to load instructions, and mapping store-exclusive instructions in the target program code to compare-and-swap instructions.

Abstract: Disclosed are systems and methods for emulating execution of a file based on emulation time. In one aspect, an exemplary method comprises, generating an image of a file, emulating an execution of instructions from the image for a predetermined emulation time, the emulation including: when an emulation of an execution of instruction from an image of another file is needed, generating an image of the another file, detecting known set of instructions in portions read from the image, inserting a break point into a position in the generated image corresponding to a start of the detected set of instructions, emulating execution of the another file by emulating execution of instructions from the generated image, and adding corresponding records to an emulation log, and reading a next portion from the image of the another file and repeating the emulation until the predetermined emulation time has elapsed.

Abstract: An apparatus and method for processing array of structures (AoS) and structure of arrays (SoA) data. For example, one embodiment of a processor comprises: a destination tile register to store data elements in a structure of arrays (SoA) format; a first source tile register to store indices associated with the data elements; instruction fetch circuitry to fetch an array of structures (AoS) gather instruction comprising operands identifying the first source tile register and the destination tile register; a decoder to decode the AoS gather instruction; and execution circuitry to determine a plurality of system memory addresses based on the indices from the first source tile register, to read data elements from the system memory addresses in an AoS format, and to load the data elements to the destination tile register in an SoA format.

Abstract: A processor is disclosed. The processor includes an execution unit having a register file having one or more banks of registers to store operand values, an accumulator comprising a pool of registers to store operand values determined to cause a conflict at register banks within the register file and cache circuitry to control storage of the operand values determined to cause a conflict at the register banks from the register file to the pool of registers.