An apparatus includes an array processor to process array data. The array data are arranged in a memory. The array data are specified with programmable per-dimension size and stride values.

An apparatus includes an array processor to process at least one array. The apparatus further includes a memory coupled to the array processor. The at least one array is stored in memory with programmable per-dimension size and stride values.

An apparatus includes an array processor to process array data in response to information contained in a packet, wherein the packet comprises a set of fields specifying configuration information for processing the array.

A streaming engine employed in a digital data processor specifies 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 specifies loop count and loop dimension for each nested loop. A format definition field in the stream template specifies the number of loops and the stream template bits devoted to the loop counts and loop dimensions. This permits the same bits of the stream template to be interpreted differently enabling trade off between the number of loops supported and the size of the loop counts and loop dimensions.

Disclosed in some examples are systems, methods, devices, and machine-readable mediums to detect and terminate programmable atomic transactions that are stuck in an infinite loop. In order to detect and terminate these transactions, the programmable atomic unit may use an instruction counter that increments each time an instruction is executed during execution of a programmable atomic transaction. If the instruction counter meets or exceeds a threshold instruction execution limit without reaching the termination instruction, the programmable atomic transaction may be terminated, all resources used (e.g., memory locks) may be freed, and a response may be sent to a calling processor.

Livelock recovery circuits configured to detect livelock in a processor, and cause the processor to transition to a known safe state when livelock is detected. The livelock recovery circuits include detection logic configured to detect that the processor is in livelock when the processor has illegally repeated an instruction; and transition logic configured to cause the processor to transition to a safe state when livelock has been detected by the detection logic.

An apparatus for hardware acceleration for use in operating a computational network is configured for determining that a loop structure including one or more loops is to be executed by a first processor. Each of the one or more loops includes a set of operations. The loop structure may be configured as a nested loop, a cascaded or a combination of the two. A second processor may be configured to decouple overhead operations of the loop structure from compute operations of the loop structure. The apparatus accelerates processing of the loop structure by simultaneously processing the overhead operations using the second processor separately from processing the compute operations based on the configuration to operate the computational network.

A method is provided that includes performing, by a processor in response to a floating point multiply instruction, multiplication of floating point numbers, wherein determination of values of implied bits of leading bit encoded mantissas of the floating point numbers is performed in parallel with multiplication of the encoded mantissas, and storing, by the processor, a result of the floating point multiply instruction in a storage location indicated by the floating point multiply instruction.

A streaming engine employed in a digital data processor specifies 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 specifies loop count and loop dimension for each nested loop. A format definition field in the stream template specifies the number of loops and the stream template bits devoted to the loop counts and loop dimensions. This permits the same bits of the stream template to be interpreted differently enabling trade off between the number of loops supported and the size of the loop counts and loop dimensions.

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.