Abstract: Techniques are disclosed relating to a processor load-store unit. In some embodiments, the load-store unit is configured to execute load/store instructions in parallel using first and second pipelines and first and second tag memory arrays. In tag write conflict situations, the load-store unit may arbitrate between the first and second pipelines to ensure the first and second tag memory array contents remain identical. In some embodiments, a data cache tag replay scheme is utilized. In some embodiments, executing load/store instructions in parallel with fills, probes, and store-updates, using separate but identical tag memory arrays, may advantageously improve performance.

Abstract: Techniques are disclosed relating to a processor load-store unit. In some embodiments, the load-store unit is configured to execute load/store instructions in parallel using first and second pipelines and first and second tag memory arrays. In tag write conflict situations, the load-store unit may arbitrate between the first and second pipelines to ensure the first and second tag memory array contents remain identical. In some embodiments, a data cache tag replay scheme is utilized. In some embodiments, executing load/store instructions in parallel with fills, probes, and store-updates, using separate but identical tag memory arrays, may advantageously improve performance.

Abstract: Techniques are provided for executing a vector alignment instruction. A scalar register file in a first processor is configured to share one or more register values with a second processor, the one or more register values accessed from the scalar register file according to an Rt address specified in a vector alignment instruction, wherein a start location is determined from one of the shared register values. An alignment circuit in the second processor is configured to align data identified between the start location within a beginning Vu register of a vector register file (VRF) and an end location of a last Vu register of the VRF according to the vector alignment instruction. A store circuit is configured to select the aligned data from the alignment circuit and store the aligned data in the vector register file according to an alignment store address specified by the vector alignment instruction.

Abstract: Techniques are provided for executing a vector alignment instruction. A scalar register file in a first processor is configured to share one or more register values with a second processor, the one or more register values accessed from the scalar register file according to an Rt address specified, in a vector alignment instruction, wherein a start location is determined from one of the shared register values. An alignment circuit in the second processor is configured to align data identified between the start location within a beginning Vu register of a vector register file (VRF) and an end location of a last Vu register of the VRF according to the vector alignment instruction. A store circuit is configured to select the aligned data from the alignment circuit and store the aligned data in the vector register file according to an alignment store address specified by the vector alignment instruction.

Abstract: In a particular embodiment, a very long instruction word (VLIW) processor is operable to execute VLIW instructions. At least one of the VLIW instructions includes a first load or store instruction and a second load or store instruction. The first instruction and the second instruction are executed as a single atomic unit. At least one of the first and second instructions is a store-conditional instruction.

Abstract: A multi-stage multiplexing operation that includes combined selection and data alignment or data replication is disclosed. In a particular embodiment, a method includes performing a first stage of a multi-stage multiplexing operation. During the first stage, a first data source is selected from a first plurality of data sources. At least one of a first data alignment operation and a first data replication operation is also performed on first data from the selected first data source during the first stage.