Why Does Adding Concurrency Sometimes Slow Down Go Code Using `rand.Float64()`?

Why Adding Concurrency Slows Down Go Code

Question:

Despite seemingly being suitable for parallelization, adding concurrency can significantly slow down Go code. Why is this?

Answer:

The issue arises from the use of the rand.Float64() function, which utilizes a shared global object with a mutex lock. This lock serializes access to the random number generator, hindering performance when attempting to run the code concurrently.

Solution:

To address this issue, create a separate instance of the rand.Rand struct for each goroutine. By doing so, each goroutine has its own random number generator, eliminating the need for mutex locks and significantly improving performance.

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