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.

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.

Systems, devices, circuitries, and methods are disclosed for identifying, within a call instruction, context registers for storing prior to a jump to another subroutine. In one example, a method includes receiving, while executing a first subroutine, a call instruction that includes a first opcode and identifies a first target address, wherein the first target address stores instructions for performing a second subroutine. A first set of context registers identified by the call instruction is determined and the content of the first set of context registers is stored in first memory allocated for context storage for the first subroutine prior to executing the instruction stored in the first target address.

In one embodiment, a processor includes a memory hierarchy and a core coupled to the memory hierarchy. The memory hierarchy stores encrypted data, and the core includes circuitry to access the encrypted data stored in the memory hierarchy, decrypt the encrypted data to yield decrypted data, perform an entropy test on the decrypted data, and update a processor state based on a result of the entropy test. The entropy test may include determining a number of data entities in the decrypted data whose values are equal to one another, determining a number of adjacent data entities in the decrypted data whose values are equal to one another, determining a number of data entities in the decrypted data whose values are equal to at least one special value from a set of special values, or determining a sum of n highest data entity value frequencies.

A computational system includes one or more processors. Each processor has multiple registers, as well attached memory to hold instructions. The processor is coupled to one or more broadside interfaces. A broadside interface allows the processor to load or store an entire widget state in a single clock cycle of the processor. The broadside interface also allows the processor to move and store 32 bytes of information into RAM in less than four to five clock cycles of the processor while the processor concurrently performs one or more mathematical operations on the information while the move and store operation is taking place.

An apparatus includes a processor, configured to designate a memory region in a memory, and to issue (i) memory-access commands for accessing the memory and (ii) a conditional-fence command associated with the designated memory region. Memory-Access Control Circuitry (MACC) is configured, in response to identifying the conditional-fence command, to allow execution of the memory-access commands that access addresses within the designated memory region, and to defer the execution of the memory-access commands that access addresses outside the designated memory region, until completion of all the memory-access commands that were issued before the conditional-fence command.

An input/output store instruction is handled. A data processing system includes a system nest coupled to at least one input/output bus by an input/output bus controller. The data processing system further includes at least a data processing unit including a core, system firmware and an asynchronous core-nest interface. The data processing unit is coupled to the system nest via an aggregation buffer. The system nest is configured to asynchronously load from and/or store data to at least one external device which is coupled to the at least one input/output bus. The data processing unit is configured to complete the input/output store instruction before an execution of the input/output store instruction in the system nest is completed. The asynchronous core-nest interface includes an input/output status array with multiple input/output status buffers.

An apparatus is described with support for transactional memory and load/store-exclusive instructions using an exclusive monitor indication to track exclusive access to a given address. In response to a predetermined type of load instruction specifying a load target address, which is executed within a given transaction, any exclusive monitor indication previously set for the load target address is cleared. In response to a load-exclusive instruction, an abort is triggered for a transaction for which the given address is specified as one of its working set of addresses. This helps to maintain mutual exclusion between transactional and non-transactional threads even if there is load speculation in the non-transactional thread.

Representative apparatus, method, and system embodiments are disclosed for a self-scheduling processor which also provides additional functionality. Representative embodiments include a self-scheduling processor, comprising: a processor core adapted to execute instructions; and a core control circuit adapted to automatically schedule an instruction for execution by the processor core in response to a received work descriptor data packet. In a representative embodiment, the processor core is further adapted to execute a non-cached load instruction to designate a general purpose register rather than a data cache for storage of data received from a memory circuit. The core control circuit is also adapted to schedule a fiber create instruction for execution by the processor core, and to generate one or more work descriptor data packets to another circuit for execution of corresponding execution threads. Event processing, data path management, system calls, memory requests, and other new instructions are also disclosed.

Portions of configuration state registers in-memory. An instruction is obtained, and a determination is made that the instruction accesses a configuration state register. A portion of the configuration state register is in-memory and another portion of the configuration state register is in-processor. Processing associated with the configuration state register is performed. The performing processing is based on a type of access and whether the portion or the other portion is being accessed.