This content originally appeared on DEV Community and was authored by Sandeep Borhade
Concurrency:
- Concurrency is achieved through the interleaving operation of processes on the central processing unit (CPU) or in other words by the context switching.
- An application that is processing more than one task at the same time.
- Concurrency is an approach that is used for decreasing the response time of the system by using the single processing unit.
- Concurrency creates the illusion of parallelism, however actually the chunks of a task aren’t parallelly processed, but inside the application, there are more than one task is being processed at a time.
Parallelism:
- An application where tasks are divided into smaller sub-tasks that are processed simultaneously or parallel.
- It is used to increase the throughput and computational speed of the system by using multiple processors.
- It enables single sequential CPUs to do lot of things simultaneously.
Difference between Concurrency and Parellelism:
Parallelism leads to overlapping of tasks in one process with tasks of another process.
Whereas in concurrency the speed is increased by overlapping the input-output activities of one task with CPU process of another task.
This content originally appeared on DEV Community and was authored by Sandeep Borhade
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Sandeep Borhade | Sciencx (2025-01-22T05:33:27+00:00) Concurrency vs Parallelism. Retrieved from https://www.scien.cx/2025/01/22/concurrency-vs-parallelism/
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