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

Abstract: In one embodiment, a processor includes a fetch logic to fetch instructions, a decode logic to decode the instructions, and an execution logic to execute at least some of the instructions. The decode logic may identify a first instruction having a first immediate value, accumulate the first immediate value with a folded immediate value associated with a first operand of the first instruction, and prevent the first instruction from provision to the execution logic, such that the first instruction is not to be executed within the execution logic. Other embodiments are described and claimed.

Abstract: In one embodiment, a processor includes a fetch logic to fetch instructions, a decode logic to decode the fetched instructions, and an execution logic to execute at least some of the instructions. The decode logic may determine whether a flag portion of a first instruction to be folded is to be performed, and if not, accumulate a first immediate value of the first instruction with a folded immediate value obtained from an entry of an immediate buffer. Other embodiments are described and claimed.

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

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: 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: 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: 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 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 multiplying and adding matrices. For example, one embodiment of a method comprises decoding by a decoder in a processor device, a single instruction specifying an m-by-m matrix operation for a set of vectors, wherein each vector represents an m-by-m matrix of data elements and m is greater than one; issuing the single instruction for execution by an execution unit in the processor device; and responsive to the execution of the single instruction, generating a resultant vector, wherein the resultant vector represents an m-by-m matrix of data elements.

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: 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.