Parallelism vs. Concurrency
#parallelism #concurrency
•
Concurrency is the problem of scheduling some computational resources that compete over those resources. Concurrency isn’t about handling tasks more quickly — i.e. with lower latency — but to complete as many of them as possible per time-unit, achieving high throughput. The canonical example of a concurrent program is a server that serves requests arriving over the wire.
•
Parallelism is the problem of doing a single job. When we are breaking up the job into multiple cooperating subtasks (divide & conquer principle) they all can be running on a single core and utilize its resources to the maximum. For example, parallel merge sort is obviously using parallel (not concurrent) subtasks in its algorithm. Another example would be: virtual threads are intended for concurrency while the parallelStream is for parallelism.
inside.java/2021/11/30/on-parallelism-and-concurrency/
