Methods and systems relating to improved processing architectures with pre-staged instructions are disclosed herein. A disclosed processor includes an instruction memory, at least one functional processing unit, a bus, a set of instruction registers configured to be loaded, using the bus, with a set of pre-staged instructions from the instruction memory, and a logic circuit configured to provide the set of pre-staged instructions from the set of instruction registers to the at least one functional processing unit in response to receiving an instruction from the instruction memory.

A method, device, and system for performing a partial sum accumulation of a product of input vectors and weight vectors in a wordwise-input and bitwise-weight manner results in a partial accumulated product sum. The partial accumulated product sum is compared with a threshold condition after each weight bit, and when the partial accumulated product sum meets the threshold condition, a skip indicator is asserted to indicate that remaining computations of a sum accumulation are skipped.

A vector processor is disclosed including a variety of variable-length instructions. Computer-implemented methods are disclosed for efficiently carrying out a variety of operations in a time-conscious, memory-efficient, and power-efficient manner. Methods for more efficiently managing a buffer by controlling the threshold based on the length of delay line instructions are disclosed. Methods for disposing multi-type and multi-size operations in hardware are disclosed. Methods for condensing look-up tables are disclosed. Methods for in-line alteration of variables are disclosed.

An apparatus is disclosed. The apparatus includes one or more processors comprising register sharing circuitry to receive meta-information indicating a number of threads that are to be disabled and provide an indication that an associated thread is disabled, a plurality of General Purpose Register Files (GRFs), wherein one or more of the plurality of GRFs is associated with one of the plurality of threads and a plurality of multiplexers coupled to the one or more GRFs to receive the indication from the register sharing circuitry and disable thread access to an associated GRF based on an indication that a thread is to be disabled.

Disclosed embodiments relate to instructions for vector operations with immediate values. In one example, a system includes a memory and a processor that includes fetch circuitry to fetch the instruction from a code storage, the instruction including an opcode, a destination identifier to specify a destination vector register, a first immediate, and a write mask identifier to specify a write mask register, the write mask register including at least one bit corresponding to each destination vector register element, the at least one bit to specify whether the destination vector register element is masked or unmasked, decode circuitry to decode the fetched instruction, and execution circuitry to execute the decoded instruction, to, use the write mask register to determine unmasked elements of the destination vector register, and, when the opcode specifies to broadcast, broadcast the first immediate to one or more unmasked vector elements of the destination vector register.

Disclosed embodiments relate to systems for performing instructions to quickly convert and use matrices (tiles) as one-dimensional vectors. In one example, a processor includes fetch circuitry to fetch an instruction having fields to specify an opcode, locations of a two-dimensional (2D) matrix and a one-dimensional (1D) vector, and a group of elements comprising one of a row, part of a row, multiple rows, a column, part of a column, multiple columns, and a rectangular sub-tile of the specified 2D matrix, and wherein the opcode is to indicate a move of the specified group between the 2D matrix and the 1D vector, decode circuitry to decode the fetched instruction; and execution circuitry, responsive to the decoded instruction, when the opcode specifies a move from 1D, to move contents of the specified 1D vector to the specified group of elements.

A method for sorting of a vector in a processor is provided that includes performing, by the processor in response to a vector sort instruction, generating a control input vector for vector permutation logic comprised in the processor based on values in lanes of the vector and a sort order for the vector indicated by the vector sort instruction and storing the control input vector in a storage location.

In various examples, a VPU and associated components may be optimized to improve VPU performance and throughput. For example, the VPU may include a min/max collector, automatic store predication functionality, a SIMD data path organization that allows for inter-lane sharing, a transposed load/store with stride parameter functionality, a load with permute and zero insertion functionality, hardware, logic, and memory layout functionality to allow for two point and two by two point lookups, and per memory bank load caching capabilities. In addition, decoupled accelerators may be used to offload VPU processing tasks to increase throughput and performance, and a hardware sequencer may be included in a DMA system to reduce programming complexity of the VPU and the DMA system. The DMA and VPU may execute a VPU configuration mode that allows the VPU and DMA to operate without a processing controller for performing dynamic region based data movement operations.

Vector sort circuits that can be used to accelerate sorting operations in a vector processor. When a new data element is received, the vector sort circuit can read multiple existing data elements from a vector-sort database in parallel, compare metrics of the existing data elements to a metric of the new data element, and output updated data elements to the vector-sort database based on the metrics. Depending on implementation, the vector-sort database can be maintained in sorted order, or the data elements can have assigned ranks indicating the sort order and the elements need not be stored in sorted order. A vector sort circuit can be incorporated into a vector sort functional unit of a microprocessor, and the instruction set of the microprocessor can include instructions that are executed by the vector sort functional unit using the vector sort circuit.

An apparatus to facilitate machine learning matrix processing is disclosed. The apparatus comprises a memory to store matrix data one or more processors to execute an instruction to examine a message descriptor included in the instruction to determine a type of matrix layout manipulation operation that is to be executed, examine a message header included in the instruction having a plurality of parameters that define a two-dimensional (2D) memory surface that is to be retrieved, retrieve one or more blocks of the matrix data from the memory based on the plurality of parameters and a register file including a plurality of registers, wherein the one or more blocks of the matrix data is stored within a first set of the plurality of registers.