Neural Command Processor for Low-Latency Task Scheduling

The patent implements a command buffer that pre-loads and stores multiple commands before execution. The workload manager prepares task descriptors and command buffers in advance, allowing the neural processing unit to execute sequences of operations without repeatedly pausing for host system communication. This preliminary preparation of data and commands reduces latency and accelerates computing by eliminating repeated communication overhead.

The patent implements a mechanism where the workload manager checks a doorbell register to determine whether new workload data has arrived. When no new data is present, the manager continues processing existing task descriptors without accessing the command buffer again. This continuous processing approach eliminates redundant buffer access operations, maintaining high productivity by keeping the processing pipeline continuously active rather than repeatedly stalling for buffer reads.

The patent segments the command processing function into multiple command managers (first command manager, second command manager, etc.), each capable of independently processing different task descriptors. This segmentation allows parallel processing of multiple workloads simultaneously while maintaining simplified individual manager logic. Each command manager handles its own queue of tasks, eliminating the bottleneck of centralized sequential processing and improving overall system productivity through parallel execution.