I thought that they were basically the same thing — writing programs that split tasks between processors (on machines that have 2+ processors). Then I\'m reading this, which
Your misunderstanding is extremely common. Many people are taught that multithreading and asynchrony are the same thing, but they are not.
An analogy usually helps. You are cooking in a restaurant. An order comes in for eggs and toast.
Now does it make sense that multithreading is only one kind of asynchrony? Threading is about workers; asynchrony is about tasks. In multithreaded workflows you assign tasks to workers. In asynchronous single-threaded workflows you have a graph of tasks where some tasks depend on the results of others; as each task completes it invokes the code that schedules the next task that can run, given the results of the just-completed task. But you (hopefully) only need one worker to perform all the tasks, not one worker per task.
It will help to realize that many tasks are not processor-bound. For processor-bound tasks it makes sense to hire as many workers (threads) as there are processors, assign one task to each worker, assign one processor to each worker, and have each processor do the job of nothing else but computing the result as quickly as possible. But for tasks that are not waiting on a processor, you don't need to assign a worker at all. You just wait for the message to arrive that the result is available and do something else while you're waiting. When that message arrives then you can schedule the continuation of the completed task as the next thing on your to-do list to check off.
So let's look at Jon's example in more detail. What happens?
text
and run the rest of the method.It's just like in my analogy. Someone asks you for a document. You send away in the mail for the document, and keep on doing other work. When it arrives in the mail you are signalled, and when you feel like it, you do the rest of the workflow -- open the envelope, pay the delivery fees, whatever. You don't need to hire another worker to do all that for you.