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Concurrency and parallelism have largely overlapping meanings with respect to multithreaded

code. Indeed, to many they mean the same thing. The difference is
primarily a matter of nuance, focus, and intent. Both terms are about running multiple tasks simultaneously, using the available hardware, but parallelism is much more
performance-oriented. People talk about parallelism when their primary concern is
taking advantage of the available hardware to increase the performance of bulk data
processing, whereas people talk about concurrency when their primary concern is separation of concerns, or responsiveness. This dichotomy is not cut and dried, and there
is still considerable overlap in meaning, but it can help clarify discussions to know of
this distinction.

how would it be without respect to multi-threaded code ?

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It's still the same

for example nodejs vs openmp application

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