[pytness]

I directly cloned to /tmp. 64GB ddr5, No overclock.

edit: (also, the machine was recently rebooted and had very few processes running)

After i posted the comment i tested on a laptop running windows with wsl (i7-12850HX 16c 24t) and the first build was going above 8 minutes.

[Ygg2]

So is /tmp a ramdisk? I have 64GB DDR4, but overclocked to double Infinity Fabric timings i.e. 3600 Mhz (it might be different for DDR5/ Zen4-5).

I ran this on MSVC toolchain on windows. With like 43% memory taken by various Firefoxe and IntelliJ windows.

Either compilers REALLY love CORES, or the Memory speed is causing issue :/

EDIT: Windows compilation 8min took less time than Linux 45min?

[pytness]

Yes, in linux there is a file system type called tmpfs which is mapped to memory (most of the time iirc).

> Filesystem Size Used Avail Use% Mounted on

> tmpfs 31G 22M 31G 1% /tmp

Try running `cargo build --timings`, it creates a report about build times. My guess would be storage speed, i would not expect memory speed to be that much of an issue.

edit:

> Windows compilation 8min took less time than Linux 45min?

I dont think i understood this correctly, but in the case you are asking (for clarification) about my compile times, i got around 3m:18s on linux, and around >8 minutes on WSL.

[Ygg2]

> Try running `cargo build --timings`, it creates a report about build time

Yeah, I got a bit longer time now, after `cargo clean `. Here are the timings: https://html-preview.github.io/?url=https://gist.githubuserc...

It's still strange win 10 was faster to compile on a worse CPU and worse memory :/

Maybe WSL has some issues that MSVC toolchain doesn't.

> I dont think i understood this correctly, but in the case you are asking (for clarification) about my compile times

Yes. I was confused by its output, i.e. 2541.91s

[pytness]

> Yes. I was confused by its output, i.e. 2541.91s

Thats the output of the shell command `time` (im using zsh so the output differs from other shells) eg `time cargo build`.

system is the cpu time spent calling kernel functions and user is the cpu time spent outside kernel functions. The time is measured per core, so if the program runs for 2 seconds with 16 threads, the user time would be around 32.

Notice there is a cpu metric (1341% cpu), if you do: (user + system) / cpu * 100 / 60 = ~3.29 minutes = 3m:17s