Abstract: Systems, methods, and apparatuses relating to a matrix operations accelerator are described.

Abstract: Techniques for providing 512-bit operands or smaller are described. In some examples, a prefix of an instruction is utilized to define the operand (vector) length. For example, an instruction is to at least include fields for a prefix, an opcode, and operand addressing information, wherein the prefix and addressing information are to be used by decoder circuitry to determine support for a particular a vector length for one or more operands of the instance of the single instruction and the opcode is to indicate one or more operations to perform on the one or more operands.

Abstract: A method of an aspect includes multiplying pairs of corresponding small-exponent floating-point data elements to generate corresponding small-exponent floating-point products. The small-exponent floating-point data elements and the small-exponent floating-point products each have no more than six exponent bits. The method also includes converting the small-exponent floating-point products to signed fixed-point products and accumulating the signed fixed-point products, and an optional signed fixed-point accumulation value, by fixed-point addition to generate a signed fixed-point accumulation value. Other methods, processors, systems, and instructions are disclosed.

Abstract: Decoder circuitry to decode an instruction indicating a first vector register having a 128-bit lane to store a first matrix having two rows by K columns of data elements having a number of bits, a storage location having 128 bits to store a second matrix having K rows by two columns of data elements having the number of bits, and a second vector register having a 128-bit lane to store a third matrix having two rows by two columns of data elements having a greater number of bits. Execution circuitry is to perform operations for the instruction, including to generate and store a result matrix having two rows by two columns of result data elements having the greater number of bits in 128-bit lane of second vector register. The result matrix represents accumulation of the third matrix with product matrix generated from matrix multiplication using the first and second matrices.

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 computing dot products of nibbles in tile operands. In one example, a processor includes decode circuitry to decode a tile dot product instruction having fields for an opcode, a destination identifier to identify a M by N destination matrix, a first source identifier to identify a M by K first source matrix, and a second source identifier to identify a K by N second source matrix, each of the matrices containing doubleword elements, and execution circuitry to execute the decoded instruction to perform a flow K times for each element (M,N) of the identified destination matrix to generate eight products by multiplying each nibble of a doubleword element (M,K) of the identified first source matrix by a corresponding nibble of a doubleword element (K,N) of the identified second source matrix, and to accumulate and saturate the eight products with previous contents of the doubleword element (M,N).

Abstract: An apparatus and method for complex matrix multiplication. For example, one embodiment of a processor comprises: a decoder to decode a first complex matrix multiplication instruction; execution circuitry to execute the first complex matrix multiplication instruction, the execution circuitry comprising parallel multiplication circuitry to multiply real values from the first plurality of real and imaginary values with corresponding real values from the second plurality of real and imaginary values to generate a first plurality of real products, to multiply imaginary values from the first plurality of real and imaginary values with corresponding imaginary values from the second plurality of real and imaginary values to generate a second plurality of real products; and addition/subtraction circuitry to subtract each real product in the second plurality of real products from a corresponding real product in the first plurality of real products to produce a corresponding real value in the result matrix.

Abstract: An apparatus and method for complex matrix transpose and multiply.

Abstract: Techniques for converting FP16 to BF8 using bias 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: 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: Embodiments for a matrix transpose and multiply operation are disclosed. In an embodiment, a processor includes a decoder and execution circuitry. The decoder is to decode an instruction having a format including an opcode field to specify an opcode, a first destination operand field to specify a destination matrix location, a first source operand field to specify a first source matrix location, and a second source operand field to specify a second source matrix location. The execution circuitry is to, in response to the decoded instruction, transpose the first source matrix to generate a transposed first source matrix, perform a matrix multiplication using the transposed first source matrix and the second source matrix to generate a result, and store the result in a destination matrix location.

Abstract: Techniques for converting floating-point to integer are described. An example of an instruction to perform such a conversion includes fields for an opcode, an identification of location of a packed data source operand, an identification of location of a packed data destination operand, an indication of a location in each packed data element of the packed data destination to store an 8-bit integer (INT8) value, wherein the opcode is to indicate to conversion circuitry is to downconvert data of each packed data element of the packed data source operand to an INT8 value and make available for storage the INT8 value in the identified location of a corresponding packed data element of the packed data destination.

Abstract: Systems, methods, and apparatuses relating to interleaving data values. An embodiment includes decoding circuitry to decode a single instruction, the instruction having one or more fields to specify an opcode, one or more fields to specify a location of a first source operand, one or more fields to specify a location of a second source operand, one or more fields to specify a location of a destination operand, and one or more fields to specify an index value to be used to index a row in the first source operand, wherein the opcode is to indicate execution circuitry is to downconvert data elements of the indexed row of the first source operand, interleave the downconverted elements with data elements of the second source operand, and store the interleaved elements in the destination operand; and execution circuitry to execute the decoded instruction according to the opcode.

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

Abstract: Techniques for converting FP16 data elements to BF8 data elements using a single instruction are described. An exemplary apparatus includes decoder circuitry to decode a single instruction, the single instruction to include a one or more fields to identify a source operand, one or more fields to identify a destination operand, and one or more fields for an opcode, the opcode to indicate that execution circuitry is to convert packed half-precision floating-point data from the identified source to packed bfloat8 data and store the packed bfloat8 data into corresponding data element positions of the identified destination operand; and execution circuitry to execute the decoded instruction according to the opcode to convert packed half-precision floating-point data from the identified source to packed bfloat8 data and store the packed bfloat8 data into corresponding data element positions.

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

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 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: Techniques for comparing BF16 data elements are described. An exemplary BF16 comparison instruction includes fields for an opcode, an identification of a location of a first packed data source operand, and an identification of a location of a second packed data source operand, wherein the opcode is to indicate that execution circuitry is to perform, for a particular data element position of the packed data source operands, a comparison of a data element at that position, and update a flags register based on the comparison.