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: Systems, methods, and apparatuses relating to swizzle operations and disable operations in a configurable spatial accelerator (CSA) are described. Certain embodiments herein provide for an encoding system for a specific set of swizzle primitives across a plurality of packed data elements in a CSA.

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

Abstract: A vector friendly instruction format and execution thereof. According to one embodiment of the invention, a processor is configured to execute an instruction set. The instruction set includes a vector friendly instruction format. The vector friendly instruction format has a plurality of fields including a base operation field, a modifier field, an augmentation operation field, and a data element width field, wherein the first instruction format supports different versions of base operations and different augmentation operations through placement of different values in the base operation field, the modifier field, the alpha field, the beta field, and the data element width field, and wherein only one of the different values may be placed in each of the base operation field, the modifier field, the alpha field, the beta field, and the data element width field on each occurrence of an instruction in the first instruction format in instruction streams.

Abstract: An apparatus and method for multiplying packed real and imaginary components of complex numbers.

Abstract: Embodiments of systems, apparatuses, and methods for multiplication, negation, and accumulation of data values in a processor are described. For example, execution circuitry executes a decoded instruction to multiply selected data values from a plurality of packed data element positions in first and second packed data source operands to generate a plurality of first result values, sum the plurality of first result values to generate one or more second result values, negate the one or more second result values to generate one or more third result values, accumulate the one or more third result values with one or more data values from the destination operand to generate one or more fourth result values, and store the one or more third result values in one or more packed data element positions in the destination operand.

Abstract: Systems, methods, and apparatuses relating to swizzle operations and disable operations in a configurable spatial accelerator (CSA) are described. Certain embodiments herein provide for an encoding system for a specific set of swizzle primitives across a plurality of packed data elements in a CSA.

Abstract: One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a fetch unit to fetch a single instruction having multiple input operands, wherein the multiple input operands have an unequal bit-length, a first input operand having a first bit-length and a second input operand having a second bit-length; a decode unit to decode the single instruction into a decoded instruction; an operand length unit to determine a smaller bit-length of the first bit-length and the second bit-length; and a compute unit to perform a matrix operation on the multiple input operands to generate an output value having a bit length of the smaller bit length.

Abstract: An apparatus and method for performing a reciprocal. For example one embodiment of a processor comprises: a decoder to decode a reciprocal instruction to generate a decoded reciprocal instruction; a source register to store at least one packed input data element; a destination register to store a result data element; and reciprocal execution circuitry to execute the decoded reciprocal instruction, the reciprocal 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 execution circuitry to generate a reciprocal 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 an instruction, its operation, and executional support for the instruction are described. In some embodiments, a processor comprises decode circuitry to decode an instruction having fields for an opcode, a packed data source operand identifier, and a packed data destination operand identifier; and execution circuitry to execute the decoded instruction to convert a single precision floating point data element of a least significant packed data element position of the identified packed data source operand to a fixed-point representation, store the fixed-point representation as 32-bit integer and a 32-bit integer exponent in the two least significant packed data element positions of the identified packed data destination operand, and zero of all remaining packed data elements of the identified packed data destination operand.

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: Embodiments detailed herein relate to matrix operations. In particular, the loading of a matrix (tile) from memory. For example, support for a loading instruction is described in the form of decode circuitry to decode an instruction having fields for an opcode, a destination matrix operand identifier, and source memory information, and execution circuitry to execute the decoded instruction to load groups of strided data elements from memory into configured rows of the identified destination matrix operand to memory.

Abstract: Embodiments detailed herein relate to matrix (tile) operations. For example, decode circuitry to decode an instruction having fields for an opcode and a memory address; and execution circuitry to execute the decoded instruction to set a tile configuration for the processor to utilize tiles in matrix operations based on a description retrieved from the memory address, wherein a tile a set of 2-dimensional registers are discussed.

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: 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 matrix operations. In particular, matrix (tile) multiply accumulate and negated matrix (tile) multiply accumulate are discussed. For example, in some embodiments decode circuitry to decode an instruction having fields for an opcode, an identifier for a first source matrix operand, an identifier of a second source matrix operand, and an identifier for a source/destination matrix operand; and execution circuitry to execute the decoded instruction to multiply the identified first source matrix operand by the identified second source matrix operand, add a result of the multiplication to the identified source/destination matrix operand, and store a result of the addition in the identified source/destination matrix operand and zero unconfigured columns of identified source/destination matrix operand are detailed.

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

Abstract: An apparatus is provided which comprises: a component; a voltage generator to supply load current to the component; first one or more circuitries to predict that the load current is to increase from a first time; and second one or more circuitries to, in anticipation of the increase in the load current from the first time, cause the component to execute first instructions during a time period that occurs prior to the first time.

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: 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.