Abstract: The present disclosure provides a method of scheduling data processing at a pipelined data processing engine, and a command scheduler for scheduling data processing at the pipelined data processing engine. The command scheduler determines whether a first data stream is locked to the pipelined data processing engine based on a status of a current data frame of the first data stream in the pipelined data processing engine. The command scheduler will schedule a next data frame of the first data stream to the data processing engine if the first data stream is not locked to the pipelined data processing engine, or it will postpone the scheduling of the next data frame of the first data stream if the first data stream is locked to the pipelined data processing engine.

Abstract: A method and apparatus for queue-ordering commands in multi-engines, multi-queues and/or multi-flows environment is provided. Commands from single/multiple queues and multi-flows are processed by multi-engines with different processing time and/or out of order, which breaks sequential order of commands from same input queue and commands are distributed across multiple engines' output buffer after processing. Processed commands are stored in dedicated command output buffer associated with each engine temporarily. The processed commands are re-ordered while writing out. Also commands can be scheduled to idle engines to achieve maximum throughput, thus utilizing the engines in an optimal manner.