Abstract: In an embodiment, a processor includes: a fetch circuit to fetch instructions, the instructions including a sum of absolute differences (SAD) instruction; a decode circuit to decode the SAD instruction; and an execution circuit to, during an execution of the decoded SAD instruction, generate an SAD output vector based on a plurality of input vectors, the SAD output vector including a plurality of absolute differences values. Other embodiments are described and claimed.

Abstract: Disclosed embodiments relate to efficient complex vector multiplication. In one example, an apparatus includes execution circuitry, responsive to an instruction having fields to specify multiplier, multiplicand, and summand complex vectors, to perform two operations: first, to generate a double-even multiplicand by duplicating even elements of the specified multiplicand, and to generate a temporary vector using a fused multiply-add (FMA) circuit having A, B, and C inputs set to the specified multiplier, the double-even multiplicand, and the specified summand, respectively, and second, to generate a double-odd multiplicand by duplicating odd elements of the specified multiplicand, to generate a swapped multiplier by swapping even and odd elements of the specified multiplier, and to generate a result using a second FMA circuit having its even product negated, and having A, B, and C inputs set to the swapped multiplier, the double-odd multiplicand, and the temporary vector, respectively.

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

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

Abstract: Systems, methods, and apparatuses relating to instructions to reset software thread runtime property histories in a hardware processor are described. In one embodiment, a hardware processor includes a hardware guide scheduler comprising a plurality of software thread runtime property histories; a decoder to decode a single instruction into a decoded single instruction, the single instruction having a field that identifies a model-specific register; and an execution circuit to execute the decoded single instruction to check that an enable bit of the model-specific register is set, and when the enable bit is set, to reset the plurality of software thread runtime property histories of the hardware guide scheduler.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Disclosed embodiments relate to systems and methods for implementing chained tile operations. In one example, a processor includes fetch circuitry to fetch one or more instructions until a plurality of instructions has been fetched, each instruction to specify source and destination tile operands, decode circuitry to decode the fetched instructions, and execution circuitry, responsive to the decoded instructions, to: identify first and second decoded instructions belonging to a chain of instructions, dynamically select and configure a SIMD path comprising first and second processing engines (PE) to execute the first and second decoded instructions, and set aside the specified destination of the first decoded instruction, and instead route a result of the first decoded instruction from the first PE to be used by the second PE to perform the second decoded instruction.

Abstract: In one embodiment, a processor includes a current protection controller to: receive instruction width information and instruction type information associated with one or more instructions stored in an instruction queue prior to execution of the one or more instructions by an execution circuit; determine a power license level for the core based on the corresponding instruction width information and the instruction type information; generate a request for a license for the core corresponding to the power license level; and communicate the request to a power controller when the one or more instructions are non-speculative, and defer communication of the request when at least one of the one or more instructions is speculative. Other embodiments are described and claimed.

Abstract: The present disclosure relates to a processor that includes one or more processing elements associated with one or more instruction set architectures. The processor is configured to receive a request from an application executed by a first processing element of the one or more processing elements to enable a feature associated with an instruction set architecture. Additionally, the processor is configured to enable the application to utilize the feature without a system call occurring when the feature is associated with an instruction set architecture associated with the first processing element.

Abstract: An apparatus and method for performing multiply-accumulate operations.

Abstract: Disclosed embodiments relate to systems and methods for performing instructions to transpose rectangular tiles. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode and locations of first destination, second destination, first source, and second source matrices, the specified opcode to cause the processor to process each of the specified source and destination matrices as a rectangular matrix, decode circuitry to decode the fetched rectangular matrix transpose instruction, and execution circuitry to respond to the decoded rectangular matrix transpose instruction by transposing each row of elements of the specified first source matrix into a corresponding column of the specified first destination matrix and transposing each row of elements of the specified second source matrix into a corresponding column of the specified second destination matrix.

Abstract: An apparatus and method for performing a packed horizontal addition of words and doublewords. One embodiment of a processor includes a decoder to decode a packed horizontal add instruction which includes an opcode and one or more operands used to identify a plurality of packed words; a source register to store a plurality of packed words; execution circuitry to execute the decoded instruction, and a destination register to store a final result as a packed result word in a designated data element position. The execution circuitry includes operand selection circuitry to identify first and second packed words from the source register in accordance with the operands and opcode; adder circuitry to add the two packed words to generate a temporary sum; a temporary storage of at least 17 bits to store the temporary sum; and saturation circuitry to saturate the temporary sum if necessary to generate the final result.

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: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate a signed fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

Abstract: Disclosed embodiments relate to systems and methods for performing instructions to transform matrices into a row-interleaved format. In one example, a processor includes fetch and decode circuitry to fetch and decode an instruction having fields to specify an opcode and locations of source and destination matrices, wherein the opcode indicates that the processor is to transform the specified source matrix into the specified destination matrix having the row-interleaved format; and execution circuitry to respond to the decoded instruction by transforming the specified source matrix into the specified RowInt-formatted destination matrix by interleaving J elements of each J-element sub-column of the specified source matrix in either row-major or column-major order into a K-wide submatrix of the specified destination matrix, the K-wide submatrix having K columns and enough rows to hold the J elements.

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

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: Techniques for converting FP16 to BF8 using bias are described.