Abstract:
Embodiments of systems, apparatuses, and methods for fused multiple add. In some embodiments, a decoder decodes a single instruction having an opcode, a destination field representing a destination operand, and fields for a first, second, and third packed data source operand, wherein packed data elements of the first and second packed data source operand are of a first, different size than a second size of packed data elements of the third packed data operand. Execution circuitry then executes the decoded single instruction to perform, for each packed data element position of the destination operand, a multiplication of a M N-sized packed data elements from the first and second packed data sources that correspond to a packed data element position of the third packed data source, add of results from these multiplications to a full-sized packed data element of a packed data element position of the third packed data source, and storage of the addition result in a packed data element position destination corresponding to the packed data element position of the third packed data source, wherein M is equal to the full-sized packed data element divided by N.
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 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
Abstract:
In some embodiments, packed data elements of first and second packed data source operands are of a first, different size than a second size of packed data elements of a third packed data operand. Execution circuitry executes decoded single instruction to perform, for each packed data element position of a destination operand, a multiplication of a M N-sized packed data elements from the first and second packed data sources that correspond to a packed data element position of the third packed data source, add of results from these multiplications to a full-sized packed data element of a packed data element position of the third packed data source, and storage of the addition result in a packed data element position destination corresponding to the packed data element position of the third packed data source, wherein M is equal to the full-sized packed data element divided by N.
Abstract:
In one embodiment, a processor comprises: at least one core formed on a die to execute instructions; a first memory controller to interface with an in-package memory; a second memory controller to interface with a platform memory to couple to the processor; and the in-package memory located within a package of the processor, where the in-package memory is to be identified as a more distant memory with respect to the at least one core than the platform memory. Other embodiments are described and claimed.
Abstract:
A processor of an aspect includes a decode unit to decode an instruction. The instruction is to explicitly specify a first architectural register and is to implicitly indicate at least a second architectural register. The second architectural register is implicitly to be at a higher register number than the first architectural register. The processor also includes an architectural register replacement unit coupled with the decode unit. The architectural register replacement unit is to replace the first architectural register with a third architectural register, and is to replace the second architectural register with a fourth architectural register. The third architectural register is to be at a lower register number than the first architectural register. The fourth architectural register is to be at a lower register number than the second architectural register. Other processors are also disclosed, as are methods and systems.
Abstract:
Systems, methods, and apparatuses for data speculation execution (DSX) are described. In some embodiments, a hardware apparatus for performing DSX comprises a hardware decoder to decode an instruction, the instruction to include an opcode, and execution hardware to execute the decoded instruction to reset data speculative execution (DSX) tracking hardware to track speculative memory accesses, clear a DSX status indication in a DSX status register, and commit all speculatively executed stores of the DSX region and thereby end a DSX region.
Abstract:
In one example, a system for generating vector based selection control statements can include a processor to determine a vector cost of the selection control statement is below a scalar cost and determine the selection control statement is to be executed in a sorted order based on dependencies between branch instructions of the selection control statement. The processor can also determine a program ordering of labels of the selection control statement does not match a mathematical ordering of the labels and execute the selection control statement with a vector of values, wherein the selection control statement is to be executed based on a jump table and a sorted unique value technique, wherein the sorted unique value technique comprises selecting at least one of the plurality of branch instructions from the jump table.
Abstract:
An example processor includes a register and a fused multiply-add (FMA) low functional unit. The register stores first, second, and third floating point (FP) values. The FMA low functional unit receives a request to perform an FMA low operation: multiplies the first FP value with the second FP value to obtain a first product value; adds the first product with the third FP value to generate a first result value; rounds the first result to generate a first FMA value; multiplies the first FP value with the second FP value to obtain a second product value; adds the second product value with the third FP value to generate a second result value; and subtracts the FMA value from the second result value to obtain a third result value, which can then be normalized and rounded (FMA low result) and sent the FMA low result to an application.
Abstract:
Instructions and logic provide SIMD address conflict resolution with vector population count functionality. Some embodiments include processors with a register with a variable plurality of data fields, each of the data fields to store a variable second plurality of bits. A destination register has corresponding data fields, each of these data fields to store a count of the number of bits set to one for corresponding data fields. Responsive to decoding a vector population count instruction, execution units count the number of bits set to one for each of data fields in the register, and store the counts in corresponding data fields of the first destination register. Vector population count instructions can be used with variable sized elements and conflict masks to generate iteration counts and completion masks to be used each iteration to resolve dependencies in gather-modify-scatter SIMD operations.
Abstract:
Embodiments of systems, apparatuses, and methods for fused multiple add. In some embodiments, a decoder decodes a single instruction having an opcode, a destination field representing a destination operand, and fields for a first, second, and third packed data source operand, wherein packed data elements of the first and second packed data source operand are of a first, different size than a second size of packed data elements of the third packed data operand. Execution circuitry then executes the decoded single instruction to perform, for each packed data element position of the destination operand, a multiplication of a M N-sized packed data elements from the first and second packed data sources that correspond to a packed data element position of the third packed data source, add of results from these multiplications to a full-sized packed data element of a packed data element position of the third packed data source, and storage of the addition result in a packed data element position destination corresponding to the packed data element position of the third packed data source, wherein M is equal to the full-sized packed data element divided by N.