![]() ![]() However, this presents challenges with sharing memory and synchronizing data across threads, because at the operating system level threads truly are running in parallel. To allow tasks to run at the same time, programs will create new threads that branch from parent threads and jump back on when they’re finished blocking. ![]() ![]() This is actually how many low-level languages typically model asynchronous operations. This means that when you call a function that needs some data that doesn’t exist yet, the entire thread stops running and waits for the data to be ready before returning and continuing. The simplest way to deal with this is to just stop execution of the thread, or “block”. In any case, we refer to this as an “asynchronous operation”. This could be because it requires a network request to get the data, or the user needs to input some text, or we’re waiting for another process to finish computation and give us the value. For example, a function that takes two Parts and returns the distance between them would be synchronous, because all information needed to compute that value is available when you call the function.īut sometimes situations arise where we call a function that needs access to a value that doesn’t exist at call time. A “synchronous operation” is one that can run to completion and generate any necessary return values with only the information available to your code at the time the operation begins. When writing programs, it’s possible to divide functions into two groups: “synchronous” and “asynchronous”. The following is an introduction to and justification for using my Promise implementation! If you just want to check out the library, click that link! Threads ![]()
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