Concurrent ML
Concurrent ML is a type of computer programming language that allows different parts of a program to be run at the same time. Think of it like a group of people building a Lego castle together. Instead of one person building the entire castle by themselves, each person can work on a different part of the castle at the same time.
In computer programming, this means that different parts of a program can be run simultaneously so that the program can complete tasks faster and more efficiently. It's like having several people working on different parts of a project at the same time instead of just one person doing everything.
Concurrency can also help minimize the wait time for certain tasks to complete. For example, imagine that you're waiting for a website to load, but it's taking a long time because the website is trying to retrieve a large amount of data. If the website uses concurrent programming, it can retrieve parts of the data in parallel, which means it can load faster.
Overall, concurrent ML makes programs faster, more efficient and can help minimize wait times.
In computer programming, this means that different parts of a program can be run simultaneously so that the program can complete tasks faster and more efficiently. It's like having several people working on different parts of a project at the same time instead of just one person doing everything.
Concurrency can also help minimize the wait time for certain tasks to complete. For example, imagine that you're waiting for a website to load, but it's taking a long time because the website is trying to retrieve a large amount of data. If the website uses concurrent programming, it can retrieve parts of the data in parallel, which means it can load faster.
Overall, concurrent ML makes programs faster, more efficient and can help minimize wait times.