Data parallelism
Okay kiddo, let's say you have a really big puzzle that has a lot of pieces. But you have a lot of friends who like puzzles too! So you all decide to work on the same puzzle, but each one of you takes only a few pieces at a time.
That's kind of like data parallelism. Instead of working with one big piece of data all at once, we break it up into smaller pieces and have a bunch of computers or processors work on it at the same time. This is especially useful when you have a LOT of data to work with, because it can save a lot of time.
Each computer or processor works on its own little piece of the data, putting it together like a puzzle. When they're all done, the pieces are joined together to form the complete data set. This is called parallel processing, and it's a really cool way to get things done faster!
That's kind of like data parallelism. Instead of working with one big piece of data all at once, we break it up into smaller pieces and have a bunch of computers or processors work on it at the same time. This is especially useful when you have a LOT of data to work with, because it can save a lot of time.
Each computer or processor works on its own little piece of the data, putting it together like a puzzle. When they're all done, the pieces are joined together to form the complete data set. This is called parallel processing, and it's a really cool way to get things done faster!
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