Abstract: Systems, methods, and apparatuses relating to a matrix operations accelerator are described. In one embodiment, a processor includes a matrix operations accelerator circuit that includes a two-dimensional grid of fused multiply accumulate circuits; a first plurality of registers that represents an input two-dimensional matrix coupled to the matrix operations accelerator circuit; a decoder, of a core coupled to the matrix operations accelerator circuit, to decode an instruction into a decoded instruction; and an execution circuit of the core to execute the decoded instruction to cause the two-dimensional grid of fused multiply accumulate circuits to form a transpose of the input two-dimensional matrix when the matrix operations accelerator circuit is in a transpose mode.

Abstract: The present disclosure is directed to systems and methods for performing one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU). The processor circuitry includes reservation station (RS) circuitry to communicatively couple the processor circuitry to the TMU. The RS circuitry coordinates the operations performed by the TMU. TMU dispatch queue (TDQ) circuitry in the TMU maintains the operations received from the RS circuitry in the order that the operations are received from the RS circuitry. Since the duration of each operation is not known prior to execution by the TMU, the RS circuitry maintains shadow dispatch queue (RS-TDQ) circuitry that mirrors the operations in the TDQ circuitry.

Abstract: Systems, methods, and apparatuses relating to performing hashing operations on packed data elements are described.

Abstract: Systems, methods, and apparatuses relating to performing hashing operations on packed data elements are described.

Abstract: Systems, methods, and apparatuses relating to performing hashing operations on packed data elements are described.

Abstract: The present disclosure is directed to systems and methods for performing one or more operations on a two dimensional tile register using an accelerator that includes a tiled matrix multiplication unit (TMU). The processor circuitry includes reservation station (RS) circuitry to communicatively couple the processor circuitry to the TMU. The RS circuitry coordinates the operations performed by the TMU. TMU dispatch queue (TDQ) circuitry in the TMU maintains the operations received from the RS circuitry in the order that the operations are received from the RS circuitry. Since the duration of each operation is not known prior to execution by the TMU, the RS circuitry maintains shadow dispatch queue (RS-TDQ) circuitry that mirrors the operations in the TDQ circuitry.

Abstract: Systems, methods, and apparatuses relating to a matrix operations accelerator are described. In one embodiment, a processor includes a matrix operations accelerator circuit that includes a two-dimensional grid of fused multiply accumulate circuits; a first plurality of registers that represents an input two-dimensional matrix coupled to the matrix operations accelerator circuit; a decoder, of a core coupled to the matrix operations accelerator circuit, to decode an instruction into a decoded instruction; and an execution circuit of the core to execute the decoded instruction to cause the two-dimensional grid of fused multiply accumulate circuits to form a transpose of the input two-dimensional matrix when the matrix operations accelerator circuit is in a transpose mode.

Abstract: A method includes calculating, by a processor core, a first residue code of a first packed vector stored in a first vector register of a set of vector registers; calculating a second residue code of a second packed vector stored in a second vector register of the set of vector registers; calculating, from an addition of the first residue code and the second residue code, a reference residue code for a SIMD arithmetic operation; performing an element-by-element execution of the SIMD arithmetic operation between data elements of the first packed vector and of the second packed vector, resulting in an output packed vector; calculating an output residue code of the output packed vector; and detecting an error in the SIMD arithmetic operation based on comparison of the reference residue code with the output residue code.

Abstract: Integrated circuits to compute a result of summing m values, rotating the sum by k bits, and adding a summation of n values Bi to Bn to the rotated sum. An embodiment includes: a first carry save adder to add up the m values to generate a first carry and a first sum; rotator circuitry to rotate both the first carry and the first sum by k bits to generate a second carry and a second sum; a second carry save adder to add up the second carry, the second sum, and the summation of values Bi to Bn to generate a third carry and a third sum; two parallel adders to generate a first intermediate result and a second intermediary result based on the third carry and the third sum; and a multiplexer to generate the result utilizing various portions of the first and second intermediate results.

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