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Concurrency Vs Parallelism

Venky
2 min readAug 4, 2024

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No BS guide to Concurrency and parallelism

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“Concurrency is about dealing with lots of things at once. Parallelism is about doing lots of things at once.” — Rob Pike

Concurrency and parallelism are two related but distinct concepts.

Concurrency (a.k.a Product Manager)

Concurrency refers to the ability of a system to handle multiple tasks or processes that are in progress at the same time, but not necessarily executing simultaneously.

In the below, fun pic by chatGPT, a single Ticket Collector is handling multiple people, this represents concurrency.

Key aspects of concurrency include:

  • Multiple tasks can start, run, and complete in overlapping time periods
  • Dealing with many things at once, but not doing them at the exact same time
  • Can be achieved on a single processor through context switching
  • It’s primarily a way to structure a program to handle multiple tasks efficiently

Parallelism

(a.k.a Senior+ Engineer working on multiple projects in same iteration :P )

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Venky
Venky

Written by Venky

A sentient machine interested in abstract ideas, computing and intelligent systems.

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