Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: A processor includes a decode unit to decode an instruction that is to indicate a first source packed data operand that is to include at least four data elements, to indicate a second source packed data operand that is to include at least four data elements, and to indicate one or more destination storage locations. The execution unit, in response to the instruction, is to store at least one result mask operand in the destination storage location(s). The at least one result mask operand is to include a different mask element for each corresponding data element in one of the first and second source packed data operands in a same relative position. Each mask element is to indicate whether the corresponding data element in said one of the source packed data operands equals any of the data elements in the other of the source packed data operands.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: A method is described that entails operating enabled cores of a multi-core processor such that both cores support respective software routines with a same instruction set, a first core being higher performance and consuming more power than a second core under a same set of applied supply voltage and operating frequency.

Abstract: A processor comprises a first register to store a plurality of data items at a plurality of positions within the first register, a second register, and an execution unit, operatively coupled to the first register and the second register, the execution unit comprising a logic circuit implementing a sort instruction for sorting the plurality of data items stored in the first register in an order of data item values, and storing, in the second register, a plurality of indices, wherein each index identifies a position associated with a data item stored in the first register prior to the sorting.

Abstract: A processor includes a decode unit to decode an instruction that is to indicate a first source packed data operand that is to include at least four data elements, to indicate a second source packed data operand that is to include at least four data elements, and to indicate one or more destination storage locations. The execution unit, in response to the instruction, is to store at least one result mask operand in the destination storage location(s). The at least one result mask operand is to include a different mask element for each corresponding data element in one of the first and second source packed data operands in a same relative position. Each mask element is to indicate whether the corresponding data element in said one of the source packed data operands equals any of the data elements in the other of the source packed data operands.

Abstract: First elements of a dense vector to be multiplied with first elements of a first row of a sparse array may be determined. The determined first elements of the dense vector may be written into a memory. A dot product for the first elements of the sparse array and the first elements of the dense vector may be calculated in a plurality of increments by multiplying a subset of the first elements of the sparse array and a corresponding subset of the first elements of the dense vector. A sequence number may be updated after each increment is completed to identify a column number and/or a row number of the sparse array for which the dot product calculations have been completed.

Abstract: Embodiments of systems, methods, and apparatuses for heterogeneous computing are described. In some embodiments, a hardware heterogeneous scheduler dispatches instructions for execution on one or more plurality of heterogeneous processing elements, the instructions corresponding to a code fragment to be processed by the one or more of the plurality of heterogeneous processing elements, wherein the instructions are native instructions to at least one of the one or more of the plurality of heterogeneous processing elements.

Abstract: A processor may include a programmable memory prefetcher that includes a programmable hardware prefetch engine and a prefetch engine control register.

Abstract: An apparatus and method are described for designing an accelerator for processing sparse data. For example, one embodiment comprises a machine-readable medium having program code stored thereon which, when executed by a processor, causes the processor to perform the operations of: analyzing input graph program code and parameters associated with a target accelerator in view of an accelerator architecture template; responsively mapping the parameters onto the architecture template to implement customizations to the accelerator architecture template; and generating a hardware description representation of the target accelerator based on the determined mapping of the parameters to apply to the accelerator architecture template.

Abstract: A processor includes a decode unit to decode an instruction that is to indicate a first source packed data operand that is to include at least four data elements, to indicate a second source packed data operand that is to include at least four data elements, and to indicate one or more destination storage locations. The execution unit, in response to the instruction, is to store at least one result mask operand in the destination storage location(s). The at least one result mask operand is to include a different mask element for each corresponding data element in one of the first and second source packed data operands in a same relative position. Each mask element is to indicate whether the corresponding data element in said one of the source packed data operands equals any of the data elements in the other of the source packed data operands.

Abstract: Single Instruction, Multiple Data (SIMD) technologies are described. A method of performing a key value lookup instruction may include storing a vector of keys to a first register and storing a vector of values corresponding to the keys to a second register. A processor may receive an instruction to perform a key value lookup instruction including a vector of key input elements. The processor may compare each key input element to each key to determine matching keys. The processor may then store values corresponding to the matching keys to an output vector in the position of the key input elements.

Abstract: A processor may include a gather-update-scatter accelerator, and an allocator comprising circuitry to direct an instruction to the accelerator for execution. The instruction may include a search index, an operation to be performed, and a scalar data value. The accelerator may include a content-addressable memory (CAM) storing multiple entries, each of which stores a respective index key and a data value associated with the index key. The accelerator may include a CAM controller, which includes circuitry. The CAM controller may be configured to select, based on the information in the instruction, one of the plurality of entries in the CAM on which to operate. The CAM controller may be configured to perform an arithmetic or logical operation on the selected entry dependent on the information in the instruction. The CAM controller may be configured to store a result of the operation in the selected entry in the CAM.

Abstract: Methods and apparatuses relating to accelerating vector multiplication. In one embodiment, an apparatus includes a first buffer to store a first cache line of indices for elements of a first vector, a second buffer to store a second cache line of indices for elements of a second vector, a comparison unit to compare each index of the first cache line of indices with each index of the second cache line of indices, a plurality of multipliers to each multiply an element from the first vector and an element from the second vector for an index match from the comparison unit to produce a product, and an adder to add together the product from each of the plurality of multipliers.

Abstract: A method is described that entails operating enabled cores of a multi-core processor such that both cores support respective software routines with a same instruction set, a first core being higher performance and consuming more power than a second core under a same set of applied supply voltage and operating frequency.

Abstract: A processor comprises a first register to store a plurality of data items at a plurality of positions within the first register, a second register, and an execution unit, operatively coupled to the first register and the second register, the execution unit comprising a logic circuit implementing a sort instruction for sorting the plurality of data items stored in the first register in an order of data item values, and storing, in the second register, a plurality of indices, wherein each index identifies a position associated with a data item stored in the first register prior to the sorting.