What is pipeline parallelism?
Pipeline parallelism is a technique in computing where multiple stages of a process are executed simultaneously, improving efficiency.
Can you give me an example of how it works?
Sure! In a data processing pipeline, one stage might be fetching data while another stage processes it, allowing both to happen at once.
What are the benefits of using pipeline parallelism?
The main benefits include increased throughput, reduced latency, and better resource utilization, leading to faster overall processing.
Are there any downsides to pipeline parallelism?
Yes, potential downsides include complexity in implementation and the risk of bottlenecks if one stage is slower than others.
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