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[Daniel Lemire](https://daily.dev/sources/lemire)

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# [An overview of parallel programming (Go edition) – Daniel Lemire's blog](https://api.daily.dev/r/hwJsYQ6DZ "Go to post")

Concurrency in software development enables programs to utilize multiple processors effectively. This post covers the complexities and strategies of handling concurrency in Go, focusing on goroutines, channels, and synchronization techniques such as WaitGroups, atomic operations, and mutexes. It highlights the trade-offs in performance and complexity when using parallelism, and provides examples to illustrate how different synchronization methods are implemented in Go to avoid data races and ensure thread safety.

[#golang](/tags/golang "Check all #golang posts")

Mar 09, 2025•25m read time•From [lemire.me](https://api.daily.dev/r/hwJsYQ6DZ "lemire.me")

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Table of contents

[Threads and goroutines](https://api.daily.dev/r/hwJsYQ6DZ "Threads and goroutines")[Wait groups](https://api.daily.dev/r/hwJsYQ6DZ "Wait groups")[Atomics](https://api.daily.dev/r/hwJsYQ6DZ "Atomics")[Mutex](https://api.daily.dev/r/hwJsYQ6DZ "Mutex")[Conclusion](https://api.daily.dev/r/hwJsYQ6DZ "Conclusion")

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Authored by Daniel Lemire, a computer science professor and researcher, this blog covers a wide rang... Read more

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