Final answer:
Data forwarding is effective for reducing raw hazards in pipelined processing but cannot handle all such hazards due to limitations presented by branch instructions and situations where compiler optimization is constrained by data dependencies.
Step-by-step explanation:
Data forwarding is a technique used in pipelined processors to reduce the number of cycles that are needed for raw hazards (read-after-write hazards) to be resolved. However, data forwarding cannot handle all raw hazards. Specifically, it cannot resolve raw hazards that arise from branch instructions or when there are dependencies that the hardware's forwarding paths cannot accommodate.
Additionally, even though compilers can reorder instructions to minimize hazards, there are situations where reordering is not possible due to data dependencies, impacting how effectively a raw hazard could be managed. Data dependencies may limit the effectiveness of compiler optimization in preventing hazards. Therefore, while data forwarding is a valuable technique in optimizing pipeline performance, it is not a catch-all solution for all instances of raw hazards in pipelined processing.