Techniques are disclosed relating to operand routing among SIMD pipelines. In some embodiments, an apparatus includes a set of multiple hardware pipelines configured to execute a single-instruction multiple-data (SIMD) instruction for multiple threads in parallel, wherein the instruction specifies first and second architectural registers. In some embodiments, the pipelines include execution circuitry configured to perform operations using one or more pipeline stages of the pipeline. In some embodiments, the pipelines include routing circuitry configured to select, based on the instruction, a first input operand for the execution circuitry from among: a value from the first architectural register from thread-specific storage for another pipeline and a value from the second architectural register from thread-specific storage for a thread assigned to another pipeline. In some embodiments, the routing circuitry may support a shift and fill instruction that facilitates storage of an arbitrary portion of a graphics frame in one or more registers.

Opportunistic consumer instruction steering based on producer instruction value prediction in a multi-cluster processor is disclosed. A processor provides producer instructions and consumer instructions to a steering circuit that steers the program instructions to clusters of instruction execution circuits. An input value provided to a consumer instruction may be a produced value of a producer instruction, creating a dependency. The steering circuit steers a producer instruction to a first cluster and, in response to receiving the consumer instruction and the predicted value of the producer instruction, provides the predicted value to at least a second cluster and steers the consumer instruction to the second cluster for execution with the predicted value as the input value. A consumer instruction can be executed in a different cluster than a producer instruction without a cluster-to-cluster latency penalty, which allows the instruction loads to be better balanced among the clusters for higher processor throughput.

A processor includes: a memory; an execution pipeline having a plurality of pipeline stages for executing an operation on data provided to the execution pipeline and storing a result of the operation into the memory; a receive pipeline having a plurality of pipeline stages for handling incoming data to the processor and storing the incoming data into memory; context status storage for holding an exception indicator of an exception encountered by the receive pipeline whilst it is handling incoming data; the receive pipeline being configured to determine that an exception has been encountered in one of its pipeline stages and to delay committing the exception indicator to the context status storage until a final one of its pipeline stages and to continue to receive and store incoming data into the memory until the exception indicator has been committed.

A fractal computing device according to an embodiment of the present application may be included in an integrated circuit device. The integrated circuit device includes a universal interconnect interface and other processing devices. The calculating device interacts with other processing devices to jointly complete a user specified calculation operation. The integrated circuit device may also include a storage device. The storage device is respectively connected with the calculating device and other processing devices and is used for data storage of the computing device and other processing devices.

Opportunistic consumer instruction steering based on producer instruction value prediction in a multi-cluster processor is disclosed. A processor provides producer instructions and consumer instructions to a steering circuit that steers the program instructions to clusters of instruction execution circuits. An input value provided to a consumer instruction may be a produced value of a producer instruction, creating a dependency. The steering circuit steers a producer instruction to a first cluster and, in response to receiving the consumer instruction and the predicted value of the producer instruction, provides the predicted value to at least a second cluster and steers the consumer instruction to the second cluster for execution with the predicted value as the input value. A consumer instruction can be executed in a different cluster than a producer instruction without a cluster-to-cluster latency penalty, which allows the instruction loads to be better balanced among the clusters for higher processor throughput.

Systems and methods are disclosed for performing wide memory operations for a wide data cache line. In some examples of the disclosed technology, a processor having two or more execution lanes includes a data cache coupled to memory, a wide memory load circuit that concurrently loads two or more words from a cache line of the data cache, and a writeback circuit situated to send a respective word of the concurrently-loaded words to a selected execution lane of the processor, either into an operand buffer or bypassing the operand buffer. In some examples, a sharding circuit is provided that allows bitwise, byte-wise, and/or word-wise manipulation of memory operation data. In some examples, wide cache loads allows for concurrent execution of plural execution lanes of the processor.

A processor has first, second and third ALUs. The first ALU has on a first side an input and an output. The second ALU has a first side facing the first side of the first ALU, an input and an output on the first side of the second ALU and being in a rotated orientation relative to the input and the output of the first side of the first ALU, and an output on a second side of the second ALU. The third ALU has a first side facing the second side of the second ALU, and an input and an output on the first side of the third ALU. The input of the first side of the first ALU is logically directly connected to the output of the first side of the second ALU.

A data processing apparatus is provided. Rename circuitry performs a register rename stage of a pipeline by storing, in storage circuitry, mappings between registers. Each of the mappings is associated with an elimination field value. Operation elimination circuitry replaces an operation that indicates an action is to be performed on data from a source register and stored in a destination register, with a new mapping in the storage circuitry that references the destination register and has the elimination field value set. Operation circuitry responds to a subsequent operation that accesses the destination register when the elimination field value is set; by obtaining contents of the source register, performing the action on the contents to obtain a result, and returning the result.

Techniques are disclosed relating to operand routing among SIMD pipelines. In some embodiments, an apparatus includes a set of multiple hardware pipelines configured to execute a single-instruction multiple-data (SIMD) instruction for multiple threads in parallel, wherein the instruction specifies first and second architectural registers. In some embodiments, the pipelines include execution circuitry configured to perform operations using one or more pipeline stages of the pipeline. In some embodiments, the pipelines include routing circuitry configured to select, based on the instruction, a first input operand for the execution circuitry from among: a value from the first architectural register from thread-specific storage for another pipeline and a value from the second architectural register from thread-specific storage for a thread assigned to another pipeline. In some embodiments, the routing circuitry may support a shift and fill instruction that facilitates storage of an arbitrary portion of a graphics frame in one or more registers.

An execution unit to execute instructions using a time-lag sliced architecture (TLSA). The execution unit includes a first computation unit and a second computation unit, where each of the first computation unit and the second computation unit includes a plurality of logic slices arranged in order, where each of the plurality of logic slices except a lattermost logic slice is coupled to an immediately following logic slice to provide an output of that logic slice to the immediately following logic slice, where the immediately following logic slice is to execute with a time lag with respect to its immediately previous logic slice. Further, each of the plurality of logic slices of the second computation unit is coupled to a corresponding logic slice of the first computation unit to receive an output of the corresponding logic slice of the first computation unit.