Pipeline parallelism is a computing technique that allows different stages of a process to be executed simultaneously, improving the overall efficiency of data processing tasks. In this method, data flows through multiple stages or operations in a pipeline, enabling the concurrent execution of tasks and minimizing idle time for resources. This approach is particularly valuable in high-performance computing, as it optimizes resource usage and speeds up computations critical to bioinformatics applications.
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