Detailed herein are embodiment systems, processors, and methods for matrix move. For example, a processor comprising decode circuitry to decode an instruction having fields for an opcode, a source matrix operand identifier, and a destination matrix operand identifier; and execution circuitry to execute the decoded instruction to move each data element of the identified source matrix operand to corresponding data element position of the identified destination matrix operand is described.

Embodiments of the present disclosure pertain to switch matrix circuit including a data permutation circuit. In one embodiment, the switch matrix comprises a plurality of adjacent switching blocks configured along a first axis, wherein the plurality of adjacent switching blocks each receive data and switch control settings along a second axis. The switch matrix includes a permutation circuit comprising, in each switching block, a plurality of switching stages spanning a plurality of adjacent switching blocks and at least one switching stage that does not span to adjacent switching blocks. The permutation circuit receives data in a first pattern and outputs the data in a second pattern. The data permutation performed by the switching stages is based on the particular switch control settings received in the adjacent switching blocks along the second axis.

Embodiments detailed herein relate to matrix operations. In particular, performing a matrix operation of zeroing a matrix in response to a single instruction. For example, a processor detailed which includes decode circuitry to decode an instruction having fields for an opcode and a source/destination matrix operand identifier; and execution circuitry to execute the decoded instruction to zero each data element of the identified source/destination matrix.

Detailed herein are embodiment systems, processors, and methods for matrix move. For example, a processor comprising decode circuitry to decode an instruction having fields for an opcode, a source matrix operand identifier, and a destination matrix operand identifier; and execution circuitry to execute the decoded instruction to move each data element of the identified source matrix operand to corresponding data element position of the identified destination matrix operand is described.

Embodiments detailed herein relate to matrix operations. In particular, the loading of a matrix (tile) from memory. For example, support for a loading instruction is described in at least a form of decode circuitry to decode an instruction having fields for an opcode, a source matrix operand identifier, and destination memory information, and execution circuitry to execute the decoded instruction to store each data element of configured rows of the identified source matrix operand to memory based on the destination memory information

Embodiments of the present disclosure pertain to switch matrix circuit including a data permutation circuit. In one embodiment, the switch matrix comprises a plurality of adjacent switching blocks configured along a first axis, wherein the plurality of adjacent switching blocks each receive data and switch control settings along a second axis. The switch matrix includes a permutation circuit comprising, in each switching block, a plurality of switching stages spanning a plurality of adjacent switching blocks and at least one switching stage that does not span to adjacent switching blocks. The permutation circuit receives data in a first pattern and outputs the data in a second pattern. The data permutation performed by the switching stages is based on the particular switch control settings received in the adjacent switching blocks along the second axis.

Embodiments detailed herein relate to matrix operations. For example, embodiments of instruction support for matrix (tile) dot product operations are detailed. Exemplary instructions including computing a dot product of signed words and accumulating in a double word with saturation; computing a dot product of bytes and accumulating in to a dword with saturation, where the input bytes can be signed or unsigned and the dword accumulation has output saturation; etc.

Embodiments detailed herein relate to matrix operations. In particular, embodiment of broadcasting elements are described. For example, some embodiments describe broadcasting a scalar to all configured data element positons of a destination matrix (tile). For example, some embodiments describe broadcasting a row to all configured data element positons of a destination matrix (tile). For example, some embodiments describe broadcasting a column to all configured data element positons of a destination matrix (tile).

Embodiments detailed herein relate to matrix operations. In particular, matrix (tile) multiply accumulate and negated matrix (tile) multiply accumulate are discussed. For example, in some embodiments decode circuitry to decode an instruction having fields for an opcode, an identifier for a first source matrix operand, an identifier of a second source matrix operand, and an identifier for a source/destination matrix operand; and execution circuitry to execute the decoded instruction to multiply the identified first source matrix operand by the identified second source matrix operand, add a result of the multiplication to the identified source/destination matrix operand, and store a result of the addition in the identified source/destination matrix operand and zero unconfigured columns of identified source/destination matrix operand are detailed.

Embodiments detailed herein relate to matrix operations. For example, embodiments of instruction support for matrix (tile) dot product operations are detailed. Exemplary instructions including computing a dot product of signed words and accumulating in a double word with saturation; computing a dot product of bytes and accumulating in to a dword with saturation, where the input bytes can be signed or unsigned and the dword accumulation has output saturation; etc.