PipelineParallelausführung

PipelineParallelausführung, often abbreviated as pipeline parallelism, is a technique used in parallel computing to speed up the execution of tasks that can be divided into a sequence of stages. In this approach, multiple processing units are arranged in a pipeline, where each unit is responsible for executing a specific stage of the overall computation. Data flows sequentially through the pipeline, with each unit processing its assigned stage before passing the result to the next unit. The key to pipeline parallelism is that different processing units can work on different stages of different tasks simultaneously. While one unit is processing stage 2 of task A, another unit can be processing stage 1 of task B, and a third unit might be finishing stage 3 of task C. This overlap in execution allows for a higher overall throughput compared to executing tasks sequentially. However, it also introduces challenges such as managing data dependencies between stages and ensuring efficient utilization of all pipeline stages. Pipeline parallelism is particularly effective for long sequences of operations where the overhead of task synchronization is relatively low.