Abstract: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate an unsigned fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

Abstract: Embodiments of systems, apparatuses, and methods for dual complex number multiplication and addition in a processor are described. For example, execution circuitry executes a decoded instruction to multiplex data values from positions in source operands to a multiplier, the source operands including pairs complex numbers, calculate a real part of a product of each pair of complex numbers, add the real part of the product of a first pair of complex numbers to the real part of the product of a second pair of complex numbers to calculate a first real result, and add the real part of the product of a third pair of complex numbers to the real part of the product of a fourth pair of complex numbers to calculate a second real result, and store the results to corresponding positions in the destination operand.

Abstract: Embodiments of systems, apparatuses, and methods for performing vector-packed controllable sine and/or cosine operations in a processor are described. For example, execution circuitry executes a decoded instruction to compute at least a real output value and an imaginary output value based on at least a cosine calculation and a sine calculation, the cosine and sine calculations each based on an index value from a packed data source operand, add the index value with an index increment value from the packed data source operand to create an updated index value, and store the real output value, the imaginary output value, and the updated index value to a packed data destination operand.

Abstract: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate an unsigned fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

Abstract: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate a signed fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

Abstract: Embodiments of systems, apparatuses, and methods for dual complex number multiplication and addition in a processor are described. For example, execution circuitry executes a decoded instruction to multiplex data values from positions in source operands to a multiplier, the source operands including pairs complex numbers, calculate a real part of a product of each pair of complex numbers, add the real part of the product of a first pair of complex numbers to the real part of the product of a second pair of complex numbers to calculate a first real result, and add the real part of the product of a third pair of complex numbers to the real part of the product of a fourth pair of complex numbers to calculate a second real result, and store the results to corresponding positions in the destination operand.

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: 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: Embodiments of systems, apparatuses, and methods for performing vector-packed controllable sine and/or cosine operations in a processor are described. For example, execution circuitry executes a decoded instruction to compute at least a real output value and an imaginary output value based on at least a cosine calculation and a sine calculation, the cosine and sine calculations each based on an index value from a packed data source operand, add the index value with an index increment value from the packed data source operand to create an updated index value, and store the real output value, the imaginary output value, and the updated index value to a packed data destination operand.

Abstract: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate an unsigned fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

Abstract: Embodiments of systems, apparatuses, and methods for dual complex number multiplication and addition in a processor are described. For example, execution circuitry executes a decoded instruction to multiplex data values from positions in source operands to a multiplier, the source operands including pairs complex numbers, calculate a real part of a product of each pair of complex numbers, add the real part of the product of a first pair of complex numbers to the real part of the product of a second pair of complex numbers to calculate a first real result, and add the real part of the product of a third pair of complex numbers to the real part of the product of a fourth pair of complex numbers to calculate a second real result, and store the results to corresponding positions in the destination operand.

Abstract: Embodiments of systems, apparatuses, and methods for performing controllable sine and/or cosine operations in a processor are described. For example, execution circuitry executes a decoded instruction to compute at least a real output value and an imaginary output value based on at least a cosine calculation and a sine calculation, the cosine and sine calculations each based on an index value from a packed data source operand, add the index value with an index increment value from the packed data source operand to create an updated index value, and store the real output value, the imaginary output value, and the updated index value to a packed data destination operand.

Abstract: Embodiments of systems, apparatuses, and methods for dual complex number multiplication and addition in a processor are described. For example, execution circuitry executes a decoded instruction to multiplex data values from positions in source operands to a multiplier, the source operands including pairs complex numbers, calculate a real part of a product of each pair of complex numbers, add the real part of the product of a first pair of complex numbers to the real part of the product of a second pair of complex numbers to calculate a first real result, and add the real part of the product of a third pair of complex numbers to the real part of the product of a fourth pair of complex numbers to calculate a second real result, and store the results to corresponding positions in the destination operand.

Abstract: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate a signed fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

Abstract: Disclosed embodiments relate to executing a vector multiplication instruction. In one example, a processor includes fetch circuitry to fetch the vector multiplication instruction having fields for an opcode, first and second source identifiers, and a destination identifier, decode circuitry to decode the fetched instruction, execution circuitry to, on each of a plurality of corresponding pairs of fixed-sized elements of the identified first and second sources, execute the decoded instruction to generate a double-sized product of each pair of fixed-sized elements, the double-sized product being represented by at least twice a number of bits of the fixed size, and generate an unsigned fixed-sized result by rounding the most significant fixed-sized portion of the double-sized product to fit into the identified destination.

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: 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 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: Methods and apparatus relating to lightweight trusted tasks are disclosed. In one embodiment, a processor includes a memory interface to a memory to store code, data, and stack segments for a lightweight-trusted task (LTT) mode task and for another task, a LTT control and status register including a lock bit, a processor core to enable LTT-mode, configure the LTT-mode task, and lock down the configuration by writing the lock bit, and a memory protection circuit to: receive a memory access request from the memory interface, the memory access request being associated with the other task, determine whether the memory access request is attempting to access a protected memory region of the LTT-mode task, and protect against the memory access request accessing the protected memory region of the LTT-mode task, regardless of a privilege level of the other task, and regardless of whether the other task is also a LTT-mode task.

Abstract: An apparatus and method for multiplying packed unsigned words.