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.

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.

A streaming engine employed in a digital data processor may specify a fixed read-only data stream defined by plural nested loops. An address generator produces address of data elements for the nested loops. A steam head register stores data elements next to be supplied to functional units for use as operands. A stream template register independently specifies a linear address or a circular address mode for each of the nested loops.

Techniques are described for metadata processing that can be used to encode an arbitrary number of security policies for code running on a processor. Metadata may be added to every word in the system and a metadata processing unit may be used that works in parallel with data flow to enforce an arbitrary set of policies. In one aspect, the metadata may be characterized as unbounded and software programmable to be applicable to a wide range of metadata processing policies. Techniques and policies have a wide range of uses including, for example, safety, security, and synchronization. Additionally, described are aspects and techniques in connection with metadata processing in an embodiment based on the RISC-V architecture.

A method is provided that includes performing, by a processor in response to a vector sort instruction, sorting of values stored in lanes of the vector to generate a sorted vector, wherein the values in a first portion of the lanes are sorted in a first order indicated by the vector sort instruction and the values in a second portion of the lanes are sorted in a second order indicated by the vector sort instruction; and storing the sorted vector in a storage location.

In one disclosed embodiment, a processor includes a first execution unit and a second execution unit, a register file, and a data path including a plurality of lanes. The data path and the register file are arranged so that writing to the register file by the first execution unit and by the second execution unit is allowed over the data path, reading from the register file by the first execution unit is allowed over the data path, and reading from the register file by the second execution unit is not allowed over the data path. The processor also includes a power control circuit configured to, when a transfer of data between the register file and either of the first and second execution units uses less than all of the lanes, power down the lanes of the data path not used for the transfer of the data.

Method and apparatus implementing smart store operations with conditional ownership requests. One aspect includes a method implemented in a multi-core processor, the method comprises: receiving a conditional read for ownership (CondRFO) from a requester in response to an execution of an instruction to modify a target cache line (CL) with a new value, the CondRFO identifying the target CL and the new value; determining from a local cache a local CL corresponding to the target CL; determining a local value from the local CL; comparing the local value with the new value; setting a coherency state of the local CL to (S)hared when the local value is same as the new value; setting the coherency state of the local CL to (I)nvalid when the local value is different than the new value; and sending a response and a copy of the local CL to the requester. Other embodiments include an apparatus configured to perform the actions of the methods.

Apparatuses and methods of operating such apparatuses are disclosed. Vector processing circuitry performs data processing in multiple parallel processing lanes, wherein the data processing is performed in a subset of the multiple parallel processing lanes determined by bit values of a vector predicate which are set. Predicate monitoring circuitry is responsive to the vector predicate to generate a predicate summary value in dependence on the bit values of the vector predicate. A first value of the predicate summary value indicates that a sparse condition is true for the vector predicate, the sparse condition being true when the bit values of the vector predicate comprise a set bit corresponding to a vector element at a higher index immediately followed by a non-set bit corresponding to a vector element at a lower index. A second value of the predicate summary value indicates that the sparse condition is not true for the vector predicate. Improved predicate controlled vector processing is thus supported.

Instruction processing is performed for an instruction. The instruction is configured to perform a plurality of functions, in which a function of the plurality of functions is to be performed in a plurality of processing phases. A processing phase is defined to store up to a select amount of data. The select amount of data is based on the function to be performed. At least one function of the plurality of functions has a different value for the select amount of data than at least one other function. A determination is made as to whether a store into a designated area occurred based on processing a select processing phase of a select function. Based on determining that the store into the designated area occurred, an interrupt is presented, and based on determining that the store into the designated area did not occur, instruction processing is continued.