Abstract: An apparatus is described having instruction execution logic circuitry to execute first, second, third and fourth instruction. Both the first instruction and the second instruction insert a first group of input vector elements to one of multiple first non overlapping sections of respective first and second resultant vectors. The first group has a first bit width. Each of the multiple first non overlapping sections have a same bit width as the first group. Both the third instruction and the fourth instruction insert a second group of input vector elements to one of multiple second non overlapping sections of respective third and fourth resultant vectors. The second group has a second bit width that is larger than said first bit width. Each of the multiple second non overlapping sections have a same bit width as the second group.

Abstract: A method is described that involves executing a first instruction with a functional unit. The first instruction is a multiply-add instruction. The method further includes executing a second instruction with the functional unit. The second instruction is a round instruction.

Abstract: A method of an aspect includes receiving a floating point scaling instruction. The floating point scaling instruction indicates a first source including one or more floating point data elements, a second source including one or more corresponding floating point data elements, and a destination. A result is stored in the destination in response to the floating point scaling instruction. The result includes one or more corresponding result floating point data elements each including a corresponding floating point data element of the second source multiplied by a base of the one or more floating point data elements of the first source raised to a power of an integer representative of the corresponding floating point data element of the first source. Other methods, apparatus, systems, and instructions are disclosed.

Abstract: An apparatus is described that includes instruction execution circuitry to execute first, second, third, and fourth instructions, the first and second instructions select a first group of input vector elements from one of multiple first non-overlapping sections of respective first and second input vectors. Each of the multiple first non-overlapping sections have a same bit width as the first group. Both the third and fourth instructions select a second group of input vector elements from one of multiple second non overlapping sections of respective third and fourth input vectors. The second group has a second bit width that is larger than the first bit width. Each of multiple second non overlapping sections have a same bit width as the second group. The apparatus includes masking layer circuitry to mask the first and second groups at a first granularity and second granularity.

Abstract: Embodiments of systems, apparatuses, and methods for performing in a computer processor vector double block packed sum of absolute differences (SAD) in response to a single vector double block packed sum of absolute differences instruction that includes a destination vector register operand, first and second source operands, an immediate, and an opcode are described.

Abstract: Systems and methods of performing a fused multiply add (FMA) operations are provided. In one embodiment, the length of the adder used by the FMA operation is less than 3*N, where N is the number of bits in the mantissa term of a floating point number. A mask may be used to perform the addition portion of the FMA operation using the adder. A second mask may be used to denormalize the result of the addition portion of the FMA operation if an underflow occurs.

Abstract: An apparatus and method are described for permuting data elements with masking. For example, a method according to one embodiment includes the following operations: reading values from a mask data structure to determine whether masking is implemented for each data element of a destination operand; if masking not implemented for a particular data element, then selecting data elements from a first source operand and a second source operand based on index values stored in destination operand to be copied to data element positions within the destination operand, wherein any one of the data elements from either the first source operand and the second source operand may be copied to any one of the data element positions within the destination operand; and if masking is implemented for a particular data element of the destination operand, then performing a designated masking operation with respect to that particular data element.

Abstract: A method of an aspect includes receiving a floating point round-off amount determination instruction. The instruction indicates a source of one or more floating point data elements, indicates a number of fraction bits after a radix point, and indicates a destination storage location. A result including one or more result floating point data elements is stored in the destination storage location in response to the floating point round-off amount determination instruction. Each of the one or more result floating point data elements includes a difference between a corresponding floating point data element of the source in a corresponding position, and a rounded version of the corresponding floating point data element of the source that has been rounded to the indicated number of the fraction bits. Other methods, apparatus, systems, and instructions are disclosed.

Abstract: An apparatus and method are described for permuting data elements with masking. For example, a method according to one embodiment includes the following operations: reading values from a mask data structure to determine whether masking is implemented for each data element of a destination operand; if masking not implemented for a particular data element, then selecting data elements from the destination operand and a second source operand based on index values stored in a first source operand to be copied to data element positions within the destination operand, wherein any one of the data elements from either the destination operand and the second source operand may be copied to any one of the data element positions within the destination operand; if masking is implemented for a particular data element of the destination operand, then performing a designated masking operation with respect to that particular data element.

Abstract: A math circuit for computing an estimate of a transcendental function is described. A lookup table storage circuit has stored therein several groups of binary values, where each group of values represents a respective coefficient of a first polynomial that estimates the function to a high precision. A computing circuit uses a portion of a binary value, that is also taken from one of the groups of values, to evaluate a second polynomial that estimates the function to a low precision. Other embodiments are also described and claimed.

Abstract: Embodiments of systems, apparatuses, and methods for performing in a computer processor vector packed butterfly horizontal cross add or subtract of packed data elements in response to a single vector packed butterfly horizontal cross add or subtract instruction that includes a destination vector register operand, a source vector register operand, an immediate, and an opcode are described.

Abstract: A method of an aspect includes receiving a floating point scaling instruction. The floating point scaling instruction indicates a first source including one or more floating point data elements, a second source including one or more corresponding floating point data elements, and a destination. A result is stored in the destination in response to the floating point scaling instruction. The result includes one or more corresponding result floating point data elements each including a corresponding floating point data element of the second source multiplied by a base of the one or more floating point data elements of the first source raised to a power of an integer representative of the corresponding floating point data element of the first source. Other methods, apparatus, systems, and instructions are disclosed.

Abstract: Instructions and logic provide SIMD vector packed tuple cross-comparison functionality. Some processor embodiments include first and second registers with a variable plurality of data fields, each of the data fields to store an element of a first data type. The processor executes a SIMD instruction for vector packed tuple cross-comparison in some embodiments, which for each data field of a portion of data fields in a tuple of the first register, compares its corresponding element with every element of a corresponding portion of data fields in a tuple of the second register and sets a mask bit corresponding to each element of the second register portion, in a bit-mask corresponding to each unmasked element of the corresponding first register portion, according to the corresponding comparison. In some embodiments bit-masks are shifted by corresponding elements in data fields of a third register. The comparison type is indicated by an immediate operand.

Abstract: An apparatus and method are described for performing vector compression. For example, one embodiment of a processor comprises: vector compression logic to compress a source vector comprising a plurality of valid data elements and invalid data elements to generate a destination vector in which valid data elements are stored contiguously on one side of the destination vector, the vector compression logic to utilize a bit mask associated with the source vector and comprising a plurality of bits, each bit corresponding to one of the plurality of data elements of the source vector and indicating whether the data element comprises a valid data element or an invalid data element, the vector compression logic to utilize indices of the bit mask and associated bit values of the bit mask to generate a control vector; and shuffle logic to shuffle/permute the data elements of the source vector to the destination vector in accordance with the control vector.

Abstract: In one embodiment, a processor includes at least one floating point unit. The at least one floating point unit may include an adder, leading change anticipator (LCA) logic, and a shifter. The adder may be to add a first operand X and a second operand Y to obtain an output operand having a bit length n. The LCA logic may be to: for each bit position i from n?1 to 1, obtain a set of propagation values and a set of bit values based on the first operand X and the second operand Y; and generate a LCA mask based on the set of propagation values and the set of bit values. The shifter may be to normalize the output operand based on the LCA mask. Other embodiments are described and claimed.

Abstract: A processor includes an instruction schedule and dispatch (schedule/dispatch) unit to receive a single instruction multiple data (SIMD) instruction to perform an operation on multiple data elements stored in a storage location indicated by a first source operand. The instruction schedule/dispatch unit is to determine a first of the data elements that will not be operated to generate a result written to a destination operand based on a second source operand. The processor further includes multiple processing elements coupled to the instruction schedule/dispatch unit to process the data elements of the SIMD instruction in a vector manner, and a power management unit coupled to the instruction schedule/dispatch unit to reduce power consumption of a first of the processing elements configured to process the first data element.

Abstract: Methods and apparatus are provided for handling floating point exceptions in a processor that executes single-instruction multiple-data (SIMD) instructions. In one example a numerical exception is identified for a SIMD floating point operation and SIMD micro-operations are initiated to generate two packed partial results of a packed result for the SIMD floating point operation. A SIMD denormalization micro-operation is initiated to combine the two packed partial results and to denormalize one or more elements of the combined packed partial results to generate a packed result for the SIMD floating point operation having one or more denormal elements. Flags are set and stored with packed partial results to identify denormal elements. In one example a SIMD normalization micro-operation is initiated to generate a normalized pseudo internal floating point representation prior to the SIMD floating point operation when it uses multiplication.

Abstract: A method of an aspect includes receiving a floating point scaling instruction. The floating point scaling instruction indicates a first source including one or more floating point data elements, a second source including one or more corresponding floating point data elements, and a destination. A result is stored in the destination in response to the floating point scaling instruction. The result includes one or more corresponding result floating point data elements each including a corresponding floating point data element of the second source multiplied by a base of the one or more floating point data elements of the first source raised to a power of an integer representative of the corresponding floating point data element of the first source. Other methods, apparatus, systems, and instructions are disclosed.

Abstract: A method is described that involves executing a first instruction with a functional unit. The first instruction is a multiply-add instruction. The method further includes executing a second instruction with the functional unit. The second instruction is a round instruction.

Abstract: An apparatus and method are described for permuting data elements with masking. For example, a method according to one embodiment includes the following operations: reading values from a mask data structure to determine whether masking is implemented for each data element of a destination operand; if masking not implemented for a particular data element, then selecting data elements from a first source operand and a second source operand based on index values stored in destination operand to be copied to data element positions within the destination operand, wherein any one of the data elements from either the first source operand and the second source operand may be copied to any one of the data element positions within the destination operand; and if masking is implemented for a particular data element of the destination operand, then performing a designated masking operation with respect to that particular data element.