What are some common techniques used in parallel computing?
Some common techniques include data parallelism, task parallelism, and pipeline parallelism.
Can you explain data parallelism in more detail?
Data parallelism involves distributing data across multiple processors, allowing them to perform the same operation on different pieces of data simultaneously.
What about task parallelism?
Task parallelism focuses on distributing different tasks across multiple processors, where each processor executes a different task.
How does pipeline parallelism work?
Pipeline parallelism breaks a task into stages, with each stage processed by a different processor, allowing for continuous data flow.
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