并发+并行都意味着同时运行多个任务。我看到一些人认为这是有区别的，但这取决于你咨询的参考文献，没有真正的正确或错误的答案。

Asynchronous: In some communities this means non-blocking code, which can mean two things: It almost always means it will not block an OS thread. However, non-blocking can optionally mean that the next line of source code in a function will continue to run without delay. In Python await asyncio.sleep(5) blocks execution of the function, but not the OS thread, and that is considered async. In Golang, you have "goroutines" that similarly to Python's await, they block execution of code, but not OS threads, however, this is not referred to as async in the Golang community. It's just concurrent programming.

并发与并行: 并发在一个时间点上只能完成一个任务。例如:单CPU处理器 并行性在一个点上我们可以做多个任务。例如:双核或多核处理器

这里有一些语义需要澄清:

并发或并行是资源争用的问题，而异步是关于控制流的问题。

不同的过程(或它们的组成操作)被称为异步的，当它们的处理顺序没有确定的实现时;换句话说，它们中的任何一个都有可能在任何给定的时间t被处理。根据定义，多个处理器(例如cpu或Persons)使多个处理器同时被处理成为可能;在单个处理器上，它们的处理是交错的(例如线程)。

当异步过程或操作共享资源时，它们被称为Concurrent;当没有资源共享(例如不同的处理器和存储)时，并行性是微不足道的保证;否则必须解决并发控制问题。

因此，异步过程或操作可以与其他过程或操作并行或并发地处理。

Concurrency Concurrency means that an application is making progress on more than one task at the same time (concurrently). Well, if the computer only has one CPU the application may not make progress on more than one task at exactly the same time, but more than one task is being processed at a time inside the application. It does not completely finish one task before it begins the next. Parallelism Parallelism means that an application splits its tasks up into smaller subtasks which can be processed in parallel, for instance on multiple CPUs at the exact same time. Concurrency vs. Parallelism In Detail As you can see, concurrency is related to how an application handles multiple tasks it works on. An application may process one task at at time (sequentially) or work on multiple tasks at the same time (concurrently). Parallelism on the other hand, is related to how an application handles each individual task. An application may process the task serially from start to end, or split the task up into subtasks which can be completed in parallel. As you can see, an application can be concurrent, but not parallel. This means that it processes more than one task at the same time, but the tasks are not broken down into subtasks. An application can also be parallel but not concurrent. This means that the application only works on one task at a time, and this task is broken down into subtasks which can be processed in parallel. Additionally, an application can be neither concurrent nor parallel. This means that it works on only one task at a time, and the task is never broken down into subtasks for parallel execution. Finally, an application can also be both concurrent and parallel, in that it both works on multiple tasks at the same time, and also breaks each task down into subtasks for parallel execution. However, some of the benefits of concurrency and parallelism may be lost in this scenario, as the CPUs in the computer are already kept reasonably busy with either concurrency or parallelism alone. Combining it may lead to only a small performance gain or even performance loss. Make sure you analyze and measure before you adopt a concurrent parallel model blindly.

从http://tutorials.jenkov.com/java-concurrency/concurrency-vs-parallelism.html

每个人都很难将异步与并行或并发相关联，因为异步既不是并行的反义词，也不是并发的反义词。它是同步的反义词。它只是表示某些东西，在这个例子中是线程，是否会与其他东西同步，在这个例子中是另一个线程。

用类比来解释这些术语。

你的房子需要洗碗和洗衣服。

并发性:你不需要等完成一个任务后再启动另一个。例如，你可以先洗碗，也可以同时洗碗。他们可以按照任何顺序完成，也就是说，即使你先洗碗，也可能会先洗衣服。

平行性:你的房子里有不止一个人在做这件事;例如，你可以洗碗，而另一个人可以洗衣服。

异步:你让别人去洗衣服，你让别人去洗碗。他们实际上可以是同一个人(也就是说，你告诉他们去洗衣服，同时也告诉他们去洗碗)。他们处理完每个人后会向你报告。

同步:你叫别人去洗碗。你等着他们。当他们完成后，你可以做其他的事情(你可以告诉他们接下来洗衣服，或者你自己洗，或者你可以完全做其他的事情;重点是你在完成第一个任务时被阻塞，你与他们是同步的)。