Concurrency Vs Parallelism!
Concurrency and parallelism are key concepts in system design, enhancing application efficiency by managing multiple tasks simultaneously and independently.
MAIN POINTS FROM TRANSCRIPT
- Concurrency handles multiple tasks by rapidly switching between them, creating an illusion of simultaneous progress.
- Parallelism executes multiple tasks simultaneously using multiple CPU cores, each handling different tasks independently.
- Concurrency is ideal for tasks involving waiting, while parallelism excels at heavy computational tasks.
TAKEAWAYS
- Concurrency improves efficiency by allowing tasks to progress during waiting periods, even on a single CPU core.
- Parallelism speeds up processes by dividing tasks into smaller subtasks executed simultaneously on different cores.
- Understanding both concepts is essential for designing responsive and efficient applications.