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It's too bad the title prefix "75x Faster" got dropped.

I stumbled a bit using jj on a big repo [1], but I too am very interested in seeing it grow and evolve.

I plan to return to my experiment sometime, would love tips on large repos and making it more manageable.

[1]: https://www.mgaudet.ca/technical/2023/11/23/exploring-jujits...


For speed on large repos, you can try using `watchman`. It's briefly documented at https://martinvonz.github.io/jj/latest/config/#filesystem-mo....


https://www.mgaudet.ca/ for general interest stuff, https://www.mgaudet.ca/technical for tech stuff.

Some good ones IMO:

- Implementing Private Fields for JavaScript https://www.mgaudet.ca/technical/2021/5/4/implementing-priva...

- Histories, by Herodotus: https://www.mgaudet.ca/blog/2020/11/26/histories-by-herodotu...


Big thumbs up to the Landmark Histories project (http://thelandmarkancienthistories.com/). Excellent production value making reading these histories much more managable -- you're 100% right on the frequent maps and good appendixes.

Don't have Anabasis, but Herodotus was excellent.


Would also be interesting to see if this is a Java issue, or a JVM implementation issue: ie, does an OpenJ9 based JVM (Available under the weird IBM Semeru name here [1]) have similar behaviour?

[1]: https://developer.ibm.com/languages/java/semeru-runtimes/


Interesting. OpenJ9 has something similar in preview: https://blog.openj9.org/tag/jitserver/


So I thought this whole thing was bullshit, then I read the blogpost from OpenJ9

I changed my mind, this image is really what they ought to be showing. It gets the point across:

https://i0.wp.com/blog.openj9.org/wp-content/uploads/2021/09...

What you're looking at is allocation of multiple apps inside of nodes in a cluster. With a JIT Server in each node, the memory required for each instance of the app is reduced, such that the effect is more instances can be fit in the same node size than before.

It reminds me of "bonuses" on equipment in RPGs. You lose 1 equipment slot to have it taken up by the item, but in return the rest of your equipment gets a bonus that more than makes up for the slot you can't use now.


I suppose ahead-of-time compiling everything so there is no compiler in any application node is a technique that is still some years away.


The article addresses this actually. For a language like Java, the jit is the source of a ton of it's performance.

Think of it more like continuous PGO, but the delta perf improvement is much higher.


The problem is that requires a closed world approach, or constrained usage of reflection.

Yes there have been AOT compilers since around 2000, however you will notice that they target specific deployment cases, and also offer JIT caches in alternative.

Actually that is also how Android rebooted their AOT efforts in version 7.

You can see it in GraalVM and native image as well.


I too would love this icon, and would take a PR from teams who can speak to that.

Hard to judge often!


Yeah, I posted a blog post [1] that explains my motivation in curating this list. Seeing the broad range of companies that do this kind of work was really helpful early in my career.

[1]: https://www.mgaudet.ca/technical/2019/12/10/compiler-jobs


I think it's possible to join the compilers field with no previous experience if you can find the right team willing to mentor. Best would be for you to have adjacent skills that are valuable to the team; things like domain expertise, low level programming skill, or hardware knowledge.

Everyone starts somewhere. It's not the easiest thing, but I think can be done.


Pull requests very welcome! Even if to just update your team location and/or add internships and remote friendliness.


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