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Concurrency and parallelism are two related but distinct concepts. Concurrency means, essentially, that task A and task B both need to happen independently of each other, and A starts running, and then B starts before A is finished. There are various different ways of accomplishing concurrency. One of them is parallelism--having multiple CPUs working on the different tasks at the same time. But that's not the only way. Another is by task switching, which works like this: Task A works up to a certain point, then the CPU working on it stops and switches over to task B, works on it for a while, and then switches back to task A. If the time slices are small enough, it may appear to the user that both things are being run in parallel, even though they're actually being processed in serial by a multitasking CPU.

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The two concepts are related, but different. Concurrency means that two or more calculations happen within the same time frame, and there is usually some sort of dependency between them. Parallelism means that two or more calculations happen simultaneously. Put boldly, concurrency describes a problem (two things need to happen together), while parallelism describes a solution (two processor cores are used to execute two things simultaneously).

Parallelism is one way to implement concurrency, but it's not the only one. Another popular solution is interleaved processing (a.k.a.

Coroutines): split both tasks up into atomic steps, and switch back and forth between the two. By far the best known example of non-parallel concurrency is how JavaScript works: there is only one thread, and any asynchronous callback has to wait until the previous chunk of code has finished executing.

This is important to know, because it guarantees that any function you write is atomic - no callback can interrupt it until it returns. But it also means that 'busy loops' won't work - you can't set a timeout and then loop until it fires, because the loop will prevent the timeout callback from executing. I believe this answer to be more correct than the existing answers and editing them would have changed their essence. I have tried to link to various sources or wikipedia pages so others can affirm correctness. Concurrency: the property of a system which enables units of the program, algorithm, or problem to be executed out-of-order or in partial order without affecting the final outcome. A simple example of this is consecutive additions: 0 + 1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9 = 45 Due to the of addition the order of these can be re-arranged without affecting correctness; the following arrangement will result in the same answer: (1 + 9) + (2 + 8) + (3 + 7) + (4 + 6) + 5 + 0 = 45 Here I have grouped numbers into pairs that will sum to 10, making it easier for me to arrive at the correct answer in my head.

Parallel Computing: a type of computation in which many calculations or the execution of processes are carried out simultaneously. Thus parallel computing leverages the property of concurrency to execute multiple units of the program, algorithm, or problem simultaneously. Continuing with the example of consecutive additions, we can execute different portions of the sum in parallel: Execution unit 1: 0 + 1 + 2 + 3 + 4 = 10 Execution unit 2: 5 + 6 + 7 + 8 + 9 = 35 Then at the end we sum the results from each worker to get 10 + 35 = 45. Again, this parallelism was only possible because consecutive additions have the property of concurrency. Concurrency can be leveraged by more than just parallelism though.

Consider on a single-core system: over a period of time the system may make progress on multiple running processes without any of them finishing. Indeed, your example of asyncronous I/O is a common example of concurrency that does not require parallelism. Confusion The above is relatively straightforward.

I suspect people get confused because the dictionary definitions do not necessarily match what was outlined above: • Concurrent: occurring or existing simultaneously or side by side. • Concurrency: the fact of two or more events or circumstances happening or existing at the same time From searching on google: 'define: concurrency'. The dictionary defines 'concurrency' as a fact of occurrence, whereas the definition in the computing vernacular is a latent property of a program, property, or system. Though related these things are not the same.

Personal Recommendations I recommend using the term 'parallel' when the simultaneous execution is assured or expected, and to use the term 'concurrent' when it is uncertain or irrelevant if simultaneous execution will be employed. I would therefore describe simulating a jet engine on multiple cores as parallel.

I would describe Makefiles as an example of concurrency. Makefiles state the dependencies of each target.