Abstract: Systems, methods, and apparatuses relating to 8-bit floating-point matrix dot product instructions are described.

Abstract: Disclosed embodiments relate to systems and methods for performing instructions to convert to 16-bit floating-point format. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode and locations of a first source vector comprising N single-precision elements, and a destination vector comprising at least N 16-bit floating-point elements, the opcode to indicate execution circuitry is to convert each of the elements of the specified source vector to 16-bit floating-point, the conversion to include truncation and rounding, as necessary, and to store each converted element into a corresponding location of the specified destination vector, decode circuitry to decode the fetched instruction, and execution circuitry to respond to the decoded instruction as specified by the opcode.

Abstract: Disclosed embodiments relate to systems and methods for performing 16-bit floating-point vector dot product instructions. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode and locations of first source, second source, and destination vectors, the opcode to indicate execution circuitry is to multiply N pairs of 16-bit floating-point formatted elements of the specified first and second sources, and accumulate the resulting products with previous contents of a corresponding single-precision element of the specified destination, decode circuitry to decode the fetched instruction, and execution circuitry to respond to the decoded instruction as specified by the opcode.

Abstract: 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.

Abstract: An apparatus is described having instruction execution logic circuitry to execute first, second, third and fourth instruction. Both the first instruction and the second instruction insert a first group of input vector elements to one of multiple first non overlapping sections of respective first and second resultant vectors. The first group has a first bit width. Each of the multiple first non overlapping sections have a same bit width as the first group. Both the third instruction and the fourth instruction insert a second group of input vector elements to one of multiple second non overlapping sections of respective third and fourth resultant vectors. The second group has a second bit width that is larger than said first bit width. Each of the multiple second non overlapping sections have a same bit width as the second group.

Abstract: An apparatus is described having instruction execution logic circuitry to execute first, second, third and fourth instruction. Both the first instruction and the second instruction insert a first group of input vector elements to one of multiple first non overlapping sections of respective first and second resultant vectors. The first group has a first bit width. Each of the multiple first non overlapping sections have a same bit width as the first group. Both the third instruction and the fourth instruction insert a second group of input vector elements to one of multiple second non overlapping sections of respective third and fourth resultant vectors. The second group has a second bit width that is larger than said first bit width. Each of the multiple second non overlapping sections have a same bit width as the second group.

Abstract: An apparatus is described that includes an execution unit to execute a first instruction and a second instruction. The execution unit includes input register space to store a first data structure to be replicated when executing the first instruction and to store a second data structure to be replicated when executing the second instruction. The first and second data structures are both packed data structures. Data values of the first packed data structure are twice as large as data values of the second packed data structure. The execution unit also includes replication logic circuitry to replicate the first data structure when executing the first instruction to create a first replication data structure, and, to replicate the second data structure when executing the second data instruction to create a second replication data structure.

Abstract: An apparatus is described that includes an execution unit to execute a first instruction and a second instruction. The execution unit includes input register space to store a first data structure to be replicated when executing the first instruction and to store a second data structure to be replicated when executing the second instruction. The first and second data structures are both packed data structures. Data values of the first packed data structure are twice as large as data values of the second packed data structure. The execution unit also includes replication logic circuitry to replicate the first data structure when executing the first instruction to create a first replication data structure, and, to replicate the second data structure when executing the second data instruction to create a second replication data structure.

Abstract: Embodiments detailed herein relate to matrix operations. In particular, the loading of a matrix (tile) from memory.

Abstract: 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.

Abstract: Embodiments detailed herein relate to systems and methods to load a tile register pair. In one example, a processor includes: decode circuitry to decode a load matrix pair instruction having fields for an opcode and source and destination identifiers to identify source and destination matrices, respectively, each matrix having a PAIR parameter equal to TRUE; and execution circuitry to execute the decoded load matrix pair instruction to load every element of left and right tiles of the identified destination matrix from corresponding element positions of left and right tiles of the identified source matrix, respectively, wherein the executing operates on one row of the identified destination matrix at a time, starting with the first row.

Abstract: An apparatus is described having instruction execution logic circuitry to execute first, second, third and fourth instruction. Both the first instruction and the second instruction insert a first group of input vector elements to one of multiple first non overlapping sections of respective first and second resultant vectors. The first group has a first bit width. Each of the multiple first non overlapping sections have a same bit width as the first group. Both the third instruction and the fourth instruction insert a second group of input vector elements to one of multiple second non overlapping sections of respective third and fourth resultant vectors. The second group has a second bit width that is larger than said first bit width. Each of the multiple second non overlapping sections have a same bit width as the second group.

Abstract: Embodiments of an apparatus comprising a decoder to decode an instruction having fields for an opcode and a destination operand and execution circuitry to execute the decoded instruction to perform a save of processor state components to an area located at a destination memory address specified by the destination operand, wherein a size of the area is defined by at least one indication of an execution of an instruction operating on a specified group of processor states are described.

Abstract: 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).

Abstract: Disclosed embodiments relate to systems and methods for performing 16-bit floating-point vector dot product instructions. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode and locations of first source, second source, and destination vectors, the opcode to indicate execution circuitry is to multiply N pairs of 16-bit floating-point formatted elements of the specified first and second sources, and accumulate the resulting products with previous contents of a corresponding single-precision element of the specified destination, decode circuitry to decode the fetched instruction, and execution circuitry to respond to the decoded instruction as specified by the opcode.

Abstract: Embodiments of systems, apparatuses, and methods for fused multiple add. In some embodiments, a decoder decodes a single instruction having an opcode, a destination field representing a destination operand, and fields for a first, second, and third packed data source operand, wherein packed data elements of the first and second packed data source operand are of a first, different size than a second size of packed data elements of the third packed data operand.

Abstract: Disclosed embodiments relate to matrix compress/decompress instructions. In one example, a processor includes fetch circuitry to fetch a compress instruction having a format with fields to specify an opcode and locations of decompressed source and compressed destination matrices, decode circuitry to decode the fetched compress instructions, and execution circuitry, responsive to the decoded compress instruction, to: generate a compressed result according to a compress algorithm by compressing the specified decompressed source matrix by either packing non-zero-valued elements together and storing the matrix position of each non-zero-valued element in a header, or using fewer bits to represent one or more elements and using the header to identify matrix elements being represented by fewer bits; and store the compressed result to the specified compressed destination matrix.

Abstract: An apparatus is described that includes an execution unit to execute a first instruction and a second instruction. The execution unit includes input register space to store a first data structure to be replicated when executing the first instruction and to store a second data structure to be replicated when executing the second instruction. The first and second data structures are both packed data structures. Data values of the first packed data structure are twice as large as data values of the second packed data structure. The execution unit also includes replication logic circuitry to replicate the first data structure when executing the first instruction to create a first replication data structure, and, to replicate the second data structure when executing the second data instruction to create a second replication data structure.

Abstract: Disclosed embodiments relate to executing a vector unsigned multiplication and accumulation instruction. In one example, a processor includes fetch circuitry to fetch a vector unsigned multiplication and accumulation instruction having fields for an opcode, first and second source identifiers, a destination identifier, and an immediate, wherein the identified sources and destination are same-sized registers, decode circuitry to decode the fetched instruction, and execution circuitry to execute the decoded instruction, on each corresponding pair of first and second quadwords of the identified first and second sources, to: generate a sum of products of two doublewords of the first quadword and either two lower words or two upper words of the second quadword, based on the immediate, zero-extend the sum to a quadword-sized sum, and accumulate the quadword-sized sum with a previous value of a destination quadword in a same relative register position as the first and second quadwords.

Abstract: Embodiments detailed herein relate to systems and methods to zero a tile register pair. In one example, a processor includes decode circuitry to decode a matrix pair zeroing instruction having fields for an opcode and an identifier to identify a destination matrix having a PAIR parameter equal to TRUE; and execution circuitry to execute the decoded matrix pair zeroing instruction to zero every element of a left matrix and a right matrix of the identified destination matrix.