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A benchmark comparing memory consumption for running 1 million concurrent tasks using different programming languages and async runtimes reveals surprising results. Rust and C# (with NativeAOT) are highly efficient, with C# demonstrating remarkable improvement. Surprisingly, Go and Java (GraalVM native image) perform less efficiently than expected. The study highlights the varying efficiency of async runtimes in handling a high number of tasks.

How Much Memory Do You Need in 2024 to Run 1 Million Concurrent Tasks?

Curious if something other than sleep would be a better metric? Maybe a static crypto call?
Mostly because some runtimes have optimizations for “sleep” because it knows it can pause and ignore what’s happening.

I’d love to see <code>Erlang</code> there. Maybe today I’ll quickly make some test code.

Goroutine in Golang are a bit unique. By setting <code>GOMAXPROCS</code> greater than <code>1</code>, you’ll get the parallel processes instead of concurrent processes.