A system and method for load queue (LDQ) and store queue (STQ) entry allocations at address generation time that maintains age-order of instructions is described. In particular, writing LDQ and STQ entries are delayed until address generation time. This allows the load and store operations to dispatch, and younger operations (which may not be store and load operations) to also dispatch and execute their instructions. The address generation of the load or store operation is held at an address generation scheduler queue (AGSQ) until a load or store queue entry is available for the operation. The tracking of load queue entries or store queue entries is effectively being done in the AGSQ instead of at the decode engine. The LDQ and STQ depth is not visible from a decode engine's perspective, and increases the effective processing and queue depth.

A processor of an aspect includes a plurality of packed data registers, and a decode unit to decode an instruction. The instruction is to indicate a packed data register of the plurality of packed data registers that is to store a source packed memory address information. The source packed memory address information is to include a plurality of memory address information data elements. An execution unit is coupled with the decode unit and the plurality of packed data registers, the execution unit, in response to the instruction, is to load a plurality of data elements from a plurality of memory addresses that are each to correspond to a different one of the plurality of memory address information data elements, and store the plurality of loaded data elements in a destination storage location. The destination storage location does not include a register of the plurality of packed data registers.

A vector processing unit is described, and includes processor units that each include multiple processing resources. The processor units are each configured to perform arithmetic operations associated with vectorized computations. The vector processing unit includes a vector memory in data communication with each of the processor units and their respective processing resources. The vector memory includes memory banks configured to store data used by each of the processor units to perform the arithmetic operations. The processor units and the vector memory are tightly coupled within an area of the vector processing unit such that data communications are exchanged at a high bandwidth based on the placement of respective processor units relative to one another, and based on the placement of the vector memory relative to each processor unit.

Techniques related to executing a plurality of instructions by a processor comprising receiving a first instruction for execution on an instruction execution pipeline, wherein the instruction execution pipeline is in a first execution mode, and wherein the first instruction is configured to utilize a first memory location, begin execution of the first instruction on the instruction execution pipeline, receiving an execution mode instruction to switch the instruction execution pipeline to a second execution mode, switching the instruction execution pipeline to the second execution mode based on the received execution mode instruction, receiving a second instruction for execution on the instruction execution pipeline, the second instruction configured to utilize the first memory location, determining that the first instruction and the second instruction utilize the first memory location, and stalling execution of the second instruction based on the determining.

Technical solutions are described for hazard detection of out-of-order execution of load and store instructions without using real addresses in a processing unit. An example includes an out-of-order load-store unit (LSU) for transferring data between memory and registers. The LSU detects a store-hit-load (SHL) in an out-of-order execution of instructions based only on effective addresses by: determining an effective address associated with a store instruction; determining whether a load instruction entry using said effective address is present in a load reorder queue; and indicating that a SHL has been detected based at least in part on determining that load instruction entry using said effective address is present in the load reorder queue. The LSU, in response to detecting the SHL, flushes instructions starting from a load instruction corresponding to the load instruction entry.

In an embodiment, a computation engine may perform dot product computations on input vectors. The dot product operation may have a first operand and a second operand, and the dot product may be performed on a subset of the vector elements in the first operand and each of the vector elements in the second operand. The subset of vector elements may be separated in the first operand by a stride that skips one or more elements between each element to which the dot product operation is applied. More particularly, in an embodiment, the input operands of the dot product operation may be a first vector having second vectors as elements, and the stride may select a specified element of each second vector.

An electronic device can execute instructions, comprising: a processing circuit; a first storage device, coupled to the processing circuit, configured to store at least one instruction and first operation data; and a second storage device, coupled to the processing circuit. The processing circuit reads at least one of the instruction and the first operation data corresponding to the read instruction from the first storage device, and the second storage device does not store the first operation data corresponding to the read instruction, the processing circuit backs up the read first operation data to the second storage device.

There is provided an apparatus that includes a set of vector registers, each of the vector registers being arranged to store a vector comprising a plurality of portions. The set of vector registers is logically divided into a plurality of columns, each of the columns being arranged to store a same portion of each vector. The apparatus also includes register access circuitry that comprises a plurality of access blocks. Each access block is arranged to access a portion in a different column when accessing one of the vector registers than when accessing at least one other of the vector registers. The register access circuitry is arranged to simultaneously access portions in any one of: the vector registers and the columns.

A vector processing unit is described, and includes processor units that each include multiple processing resources. The processor units are each configured to perform arithmetic operations associated with vectorized computations. The vector processing unit includes a vector memory in data communication with each of the processor units and their respective processing resources. The vector memory includes memory banks configured to store data used by each of the processor units to perform the arithmetic operations. The processor units and the vector memory are tightly coupled within an area of the vector processing unit such that data communications are exchanged at a high bandwidth based on the placement of respective processor units relative to one another, and based on the placement of the vector memory relative to each processor unit.

A processor includes a store buffer to store store instructions to be processed to store data in main memory, a load buffer to store load instructions to be processed to load data from main memory, and a loop invariant code motion (LICM) protection structure coupled to the store buffer and the load buffer. The LPT tracks information to compare an address of a store or snoop microoperation with entries in the LICM and re-loads a load microoperation of a matching entry.