Parallel processing is a type of computation in which many calculations or processes are carried out simultaneously. It's largely based on the principle that large problems can often be divided into smaller ones, which are then solved concurrently, or "in parallel".
In the context of computing, parallel processing is used to enhance performance and is utilized widely in high performance computing scenarios. It can take place on a single machine with multiple cores or processors, or it can be distributed across many machines in a network, often referred to as a compute cluster.
However, parallel processing requires a dataset that can be broken down into independent pieces, and an algorithm that can work on these independent pieces without needing to coordinate with the other pieces.
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