concurrency-vs-parallelism.md

concurrency-vs-parallelism.md

Feature	Concurrency	Parallelism
Definition	Managing multiple tasks at the same time.	Executing multiple tasks at the same time.
Focus	Structure of the program, dealing with multiple tasks.	Execution of tasks simultaneously on multiple cores.
Task Handling	Tasks start, run, and complete in overlapping time periods.	Tasks run at exactly the same time.
Context Switching	Frequent context switching between tasks.	Little to no context switching needed.
Resource Utilization	Better resource utilization via multitasking.	High CPU utilization by running tasks on multiple cores.
Example	Handling multiple I/O-bound tasks.	Performing multiple CPU-bound tasks.
Programming Model	Often achieved with threads, coroutines, and asynchronous programming.	Often achieved with parallel loops, GPU processing, and multi-core processing.
Goal	Improve throughput and responsiveness.	Improve computation speed and reduce execution time.
Typical Use Cases	Web servers handling multiple requests, GUI applications.	Scientific computations, video rendering, real-time simulations.
Performance Gain	Gains depend on effective management of tasks.	Gains depend on the number of available processing units.