Pipelining is a technique used in computing where multiple instruction phases are overlapped in execution to improve performance and throughput. This approach breaks down tasks into smaller sub-tasks that can be processed simultaneously, allowing for increased efficiency in both parallel algorithms and scalable machine learning. By organizing tasks in a sequential manner, pipelining enhances resource utilization and reduces latency, which is essential for handling complex computations.
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