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This lecture covers the concept of pipelining in processors, where a single activity is split into multiple subactivities to improve efficiency. It explains the stages of pipelining, the state machine of a lab processor, and the execution schedule. The lecture also delves into examples of pipelined execution, data hazards, control hazards, and structural hazards, along with their solutions like forwarding paths, stalling the pipeline, delay slots, and branch prediction. The importance of branch prediction in modern processors is highlighted, along with the strategies to mitigate data, control, and structural hazards in pipelined architectures.
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