Abstract: An apparatus is described having instruction execution logic circuitry. The instruction execution logic circuitry has input vector element routing circuitry to perform the following for each of three different instructions: for each of a plurality of output vector element locations, route into an output vector element location an input vector element from one of a plurality of input vector element locations that are available to source the output vector element. The output vector element and each of the input vector element locations are one of three available bit widths for the three different instructions. The apparatus further includes masking layer circuitry coupled to the input vector element routing circuitry to mask a data structure created by the input vector routing element circuitry. The masking layer circuitry is designed to mask at three different levels of granularity that correspond to the three available bit widths.

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: A processor includes a core to execute an instruction for conversion between an element array and a packed bit array. The core includes logic to identify one or more bit-field lengths to be used by the packed bit array, identify a width of elements of the element array, and simultaneously for elements of the element array and for bit-fields of the packed bit array, convert between the element array and the packed bit array based upon the bit-field length and the width of elements of the element array.

Abstract: A processor having a decoder to decode an instruction to generate a decoded instruction; a first source register to store a first plurality of packed signed bytes; a second source register to store a second plurality of packed signed bytes; execution circuitry to execute the decoded instruction, the execution circuitry including: multiplier circuitry to multiply each packed signed byte from the first source register with a corresponding packed signed byte from the second source register to generate temporary products, adder circuitry to add a plurality of sets of the temporary products to generate a plurality of temporary sums; negation and extension circuitry to negate and extend each of the temporary sums to doublewords sums; and accumulation circuitry to add each of the doublewords sums to a doubleword from a third source register to generate final doubleword results; and a packed data destination register to store the final doubleword results.

Abstract: Disclosed embodiments relate to systems and methods for performing duplicate detection instructions on two-dimensional (2D) data. In one example, a processor includes fetch circuitry to fetch an instruction, decode circuitry to decode the fetched instruction having fields to specify an opcode and locations of a source matrix comprising M×N elements and a destination, the opcode to indicate execution circuitry is to use a plurality of comparators to discover duplicates in the source matrix, and store indications of locations of discovered duplicates in the destination. The execution circuitry to execute the decoded instruction as per the opcode.

Abstract: Disclosed embodiments relate to systems and methods for performing nibble-sized operations on matrix elements. In one example, a processor includes fetch circuitry to fetch an instruction, decode circuitry to decode the fetched instruction the fetched instruction having fields to specify an opcode and locations of first source, second source, and destination matrices, the opcode to indicate the processor is to, for each pair of corresponding elements of the first and second source matrices, logically partition each element into nibble-sized partitions, perform an operation indicated by the instruction on each partition, and store execution results to a corresponding nibble-sized partition of a corresponding element of the destination matrix. The exemplary processor includes execution circuitry to execute the decoded instruction as per the opcode.

Abstract: Disclosed embodiments relate to systems and methods for performing matrix row-wise and column-wise permute instructions. In one example, a processor includes fetch circuitry to fetch an instruction, decoding, using decode circuitry, the fetched instruction having fields to specify an opcode and locations of a source matrix and a destination matrix, the opcode indicating the processor is to perform a permutation by copying, into each of a plurality of equal-sized logical partitions of the destination matrix, a selected logical partition of a same size from the source matrix, the selection being indicated by a permute control, and execution circuitry to execute the decoded instruction as per the opcode.

Abstract: Disclosed embodiments relate to accelerating multiplication of sparse matrices. In one example, a processor is to fetch and decode an instruction having fields to specify locations of first, second, and third matrices, and an opcode indicating the processor is to multiply and accumulate matching non-zero (NZ) elements of the first and second matrices with corresponding elements of the third matrix, and executing the decoded instruction as per the opcode to generate NZ bitmasks for the first and second matrices, broadcast up to two NZ elements at a time from each row of the first matrix and each column of the second matrix to a processing engine (PE) grid, each PE to multiply and accumulate matching NZ elements of the first and second matrices with corresponding elements of the third matrix. Each PE further to store an NZ element for use in a subsequent multiplications.

Abstract: Disclosed embodiments relate to transposing vectors while loading from memory. In one example, a processor includes a register file, a memory interface, fetch circuitry to fetch an instruction, decode circuitry to decode the fetched instruction having fields to specify an opcode, a destination vector register, and a source vector having N groups of elements, N being a positive integer, the opcode to indicate the processor is to fetch the source vector, generate write data comprising one or more N-tuples, each N-tuple comprising corresponding elements from each of the N groups of elements, and write the write data to the destination vector register, and execution circuitry to execute the decoded instruction as per the opcode, the execution circuitry has a shuffle pipeline disposed between the memory and the register file, the shuffle pipeline to fetch, decode, and execute further instances of the instruction at one instruction per clock cycle.

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: 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: An apparatus and method for performing a vector bit reversal and crossing. For example, one embodiment of a processor comprises: a first source vector register to store a first plurality of source bit groups, wherein a size for the bit groups is to be specified in an immediate of an instruction; a second source vector to store a second plurality of source bit groups; vector bit reversal and crossing logic to determine a bit group size from the immediate and to responsively reverse positions of contiguous bit groups within the first source vector register to generate a set of reversed bit groups, wherein the vector bit reversal and crossing logic is to additionally interleave the set of reversed bit groups with the second plurality of bit groups; and a destination vector register to store the reversed bit groups interleaved with the first plurality of bit groups.

Abstract: An embodiment of the invention is a processor including execution circuitry to calculate, in response to a decoded instruction, a result of a complex multiplication of a first complex number and a second complex number. The calculation includes a first operation to calculate a first term of a real component of the result and a first term of the imaginary component of the result. The calculation also includes a second operation to calculate a second term of the real component of the result and a second term of the imaginary component of the result. The processor also includes a decoder, a first source register, and a second source register. The decoder is to decode an instruction to generate the decoded instruction. The first source register is to provide the first complex number and the second source register is to provide the second complex number.

Abstract: An apparatus and method for multiplying packed signed words. For example, one embodiment of a processor comprises: a decoder to decode a first instruction to generate a decoded instruction; a first source register to store a first plurality of packed signed words; a second source register to store a second plurality of packed signed words; execution circuitry to execute the decoded instruction, the execution circuitry comprising: multiplier circuitry to multiply each of a plurality of packed signed words from the first source register with corresponding packed signed words from the second source register to generate a plurality of products responsive to the decoded instruction, adder circuitry to add the products to generate a first result, and accumulation circuitry to combine the first result with an accumulated result to generate a final result comprising a third plurality of packed signed words, and to write the third plurality of packed signed words or a maximum value to a destination register.

Abstract: An embodiment of the invention is a processor including execution circuitry to, in response to a decoded instruction, convert a half-precision floating-point value to a single-precision floating-point value and store the single-precision floating-point value in each of the plurality of element locations of a destination register. The processor also includes a decoder and the destination register. The decoder is to decode an instruction to generate the decoded instruction.

Abstract: A method of an aspect includes receiving a packed data operation mask shift instruction. The packed data operation mask shift instruction indicates a source having a packed data operation mask, indicates a shift count number of bits, and indicates a destination. The method further includes storing a result in the destination in response to the packed data operation mask shift instruction. The result includes a sequence of bits of the packed data operation mask that have been shifted by the shift count number of bits. Other methods, apparatus, systems, and instructions are disclosed.

Abstract: An apparatus and method for performing dual concurrent multiplications of packed data elements.

Abstract: An apparatus and method for performing a reciprocal square root. For example one embodiment of a processor comprises: a decoder to decode a reciprocal square root instruction to generate a decoded reciprocal square root instruction; a source register to store at least one packed input data element; a destination register to store a result data element; and reciprocal square root execution circuitry to execute the decoded reciprocal square root instruction, the reciprocal square root execution circuitry to use a first portion of the packed input data element as an index to a data structure containing a plurality of sets of coefficients to identify a first set of coefficients from the plurality of sets, the reciprocal square root execution circuitry to generate a reciprocal square root of the packed input data element using a combination of the coefficients and a second portion of the packed input data element.

Abstract: Embodiments of systems, apparatuses, and methods for dual complex number by complex conjugate multiplication in a processor are described. For example, execution circuitry executes a decoded instruction to multiplex data values from a plurality of packed data element positions in the first and second packed data source operands to at least one multiplier circuit, the first and second packed data source operands including a plurality of pairs complex numbers, each pair of complex numbers including data values at shared packed data element positions in the first and second packed data source operands; calculate a real part and an imaginary part of a product of a first complex number and a complex conjugate of a second complex number; and store the real result to a first packed data element position in the destination operand and store the imaginary result to a second packed data element position in the destination operand.

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.