Thanks for the detailed answer. Does it somewhat mean that splitting code
into smaller namespaces can achieve faster compilation thanks to
parallelization ?


On Fri, Jan 17, 2020 at 10:43 AM Thomas Heller <[email protected]> wrote:

> It depends on the namespaces used. In general a CLJS namespaces can only
> be compiled once all its dependencies have been compiled. So if those
> dependendencies can be compiled in parallel they will use multiple threads
> from a pool, which should keep all cores busy. In my experience a good
> balance between core count and core speed matters. If you have big
> namespaces that a lot of other namespaces depend on (eg. like cljs.core)
> then its compilation will "block" all other threads so its important it
> finishes fast (ie. fast cores). If you have lots a small namespaces that
> are mostly independent then you can get maximum parallelization (ie. many
> cores).
>
> I have a i7-8700K 6c and there are builds that aren't able to use all
> cores due to the namespace setup (few very large ones). Others happily use
> everything. Single core difference is gigantic to my previous CPU from a
> macbook pro 2016.
>
> If you really really want to torture your CPU you can try
> https://github.com/mfikes/fifth-postulate or
> https://github.com/mfikes/coal-mine to compare.
>
> HTH,
> Thomas
>
> On Friday, January 17, 2020 at 5:29:06 AM UTC+1, Khalid Jebbari wrote:
>>
>> Hello,
>>
>> We're using the parallel build option, and I noticed the difference in
>> speed between my laptop and other laptops is basically proportional to the
>> difference in speed of the CPUs (based on notebookcheck's benchmarks). I
>> have 4C/8T 7700HQ CPU and my colleagues have a 8565U iirc (some have the
>> 6600U). Mine is almost twice as fast in benchmarks, which is reflected in
>> cljs compilation times.
>>
>> So my question is how does the cljs compiler scale with regards to CPU?
>> Core count? Single thread perf? All cores frequencies? Is it capped to some
>> number of cores?
>>
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