Apparatus and method for signed and unsigned shift, round and saturate using different data element values. For example, one embodiment of an apparatus comprises a decoder to decode an instruction having fields for a first packed data source operand to provide a first source data element and a second source data element, a second packed data source operand or immediate to provide a first shift value and a second shift value corresponding to the first source data element and second source data element, respectively, and a packed data destination operand to indicate a first result value and a second result value corresponding to the first source data element and second source data element, and execution circuitry to execute the decoded instruction to: shift the first source data element by an amount based on the first shift value to generate a first shifted data element; shift the second source data element by an amount based on the second shift value to generate a second shifted data element; update a saturation indicator responsive to detecting a saturation condition resulting from the shift of the first and/or second source data elements; round and/or saturate the first and second shifted data elements in accordance with a specified rounding mode and the saturation indicator, respectively, to generate the first and second result data elements; and store the first result value and the second result value in a first data element location and a second data element location in a destination register.

An apparatus and method for performing a vector packed multiplication of signed and unsigned words. For example, one embodiment of a processor includes a decoder to decode a vector packed multiply instruction having operands to identify a first and a second plurality of packed words, first and second source registers to store the first and second plurality of packed words, and execution circuitry to execute the decoded instruction. The execution circuitry includes multiplier circuitry to multiply each packed word in the first source register with a corresponding packed word in the second source register to generate a plurality of doubleword products and rounding circuitry to round each of the doubleword products according to a rounding method to generate a plurality of rounded doubleword products. Each upper word of the rounded doubleword results is then stored into a corresponding word data element positions of a destination register.

Examples of a carry chain for performing an operation on operands each including elements of a selectable size is provided. Advantageously, the carry chain adapts to elements of different sizes. The carry chain determines a mask based on a selected size of an element. The carry chain selects, based on the mask, whether to carry a partial result of an operation performed on corresponding first portions of a first operand and a second operand into a next operation. The next operation is performed on corresponding second portions of the first operand and the second operand, and, based on the selection, the partial result of the operation. The carry chain stores, in a memory, a result formed from outputs of the operation and the next operation.

A data processing apparatus, a method of operating a data processing apparatus, a non-transitory computer readable storage medium, and an instruction are provided. The instruction specifies a first source register and a second source register. In response to the instruction control signals are generated, causing processing circuitry to perform a dot product operation. For this operation at least a first data element and a second data element are extracted from each of the first source register and the second source register, such that then at least first data element pairs and second data element pairs are multiplied together. The dot product operation is performed independently in each of multiple intra-register lanes across each of the first source register and the second source register. A widening operation with a large density of operations per instruction is thus provided.

Detailed are embodiments related to bit matrix multiplication in a processor. For example, in some embodiments a processor comprising: decode circuitry to decode an instruction have fields for an opcode, an identifier of a first source bit matrix, an identifier of a second source bit matrix, an identifier of a destination bit matrix, and an immediate; and execution circuitry to execute the decoded instruction to perform a multiplication of a matrix of S-bit elements of the identified first source bit matrix with S-bit elements of the identified second source bit matrix, wherein the multiplication and accumulation operations are selected by the operation selector and store a result of the matrix multiplication into the identified destination bit matrix, wherein S indicates a plural bit size is described.

Representative apparatus, method, and system embodiments are disclosed for configurable computing. A representative system includes an interconnection network; a processor; and a plurality of configurable circuit clusters. Each configurable circuit cluster includes a plurality of configurable circuits arranged in an array; a synchronous network coupled to each configurable circuit of the array; and an asynchronous packet network coupled to each configurable circuit of the array. A representative configurable circuit includes a configurable computation circuit and a configuration memory having a first, instruction memory storing a plurality of data path configuration instructions to configure a data path of the configurable computation circuit; and a second, instruction and instruction index memory storing a plurality of spoke instructions and data path configuration instruction indices for selection of a master synchronous input, a current data path configuration instruction, and a next data path configuration instruction for a next configurable computation circuit.

An apparatus and method to execute ray tracing instructions. For example, one embodiment of an apparatus comprises execution circuitry to execute a dequantize instruction to convert a plurality of quantized data values to a plurality of dequantized data values, the dequantize instruction including a first source operand to identify a plurality of packed quantized data values in a source register and a destination operand to identify a destination register in which to store a plurality of packed dequantized data values, wherein the execution circuitry is to convert each packed quantized data value in the source register to a floating point value, to multiply the floating point value by a first value to generate a first product and to add the first product to a second value to generate a dequantized data value, and to store the dequantized data value in a packed data element location in the destination register.

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 at least a form of decode circuitry to decode an instruction having fields for an opcode, a source matrix operand identifier, and destination memory information, and execution circuitry to execute the decoded instruction to store each data element of configured rows of the identified source matrix operand to memory based on the destination memory information.

A predicated vector load micro-operation specifies a load target address, a destination vector register for which active vector elements of the destination vector register are to be loaded with data associated with addresses identified based on the load target address, and a predicate operand indicative of whether each vector element of the destination vector register is active or inactive. A predetermined type of predicated vector load micro-operation can be issued to the processing circuitry before the predicate operand is determined to meet an availability condition, and if issued in this way memory access circuitry can determine, based on the load target address, whether the predetermined type of predicated vector load micro-operation satisfies a predetermined condition, and if the predetermined condition is unsatisfied, perform a complete vector load assuming all vector elements of the destination vector register are active vector elements, independent of whether the predicate operand when available identifies any inactive vector element of the destination vector register.

A data compressor a zero-value remover, a zero bit mask generator, a non-zero values packer, and a row-pointer generator. The zero-value remover receives 2.sup.N bit streams of values and outputs 2.sup.N non-zero-value bit streams having zero values removed from each respective bit stream. The zero bit mask generator receives the 2.sup.N bit streams of values and generates a zero bit mask for a predetermined number of values of each bit stream in which each zero bit mask indicates a location of a zero value in the predetermined number of values corresponding to the zero bit mask. The non-zero values packer receives the 2.sup.N non-zero-value bit streams and forms a group of packed non-zero values. The row-pointer generator that generates a row-pointer for each group of packed non-zero values.