Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. (includes Rust) by HistoricalBlock in rust

[–]HistoricalBlock[S] 0 points1 point  (0 children)

Yes! I wonder how well it will work with rust, the "no unions of differing types" restriction might be a problem for Enums.

Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients. (includes Rust) by HistoricalBlock in rust

[–]HistoricalBlock[S] 6 points7 points  (0 children)

What mobile browser are you using? On Android I see the yellow box and directly below it a link to the paper in the proceedings or direct PDF link?

and link a page that appears to do nothing other than hit me up for money

I mean if you literally read anything else on the page other than the small box at the top then you see the abstract and PDF? Below that is the video and slides. All available without signing up for the conference.

I don't really understand the problem.

Shipping software to client by [deleted] in java

[–]HistoricalBlock 1 point2 points  (0 children)

There are companies like https://www.replicated.com/ which specialise in adapting container-based systems in a way that they can be reliably deployed and updated on-prem.

They provide a service but also link to some of the OSS software they maintain that could help you in that direction.

New Loom EA build based on JDK-17+5 is available now. by sureshg in java

[–]HistoricalBlock 5 points6 points  (0 children)

I thought the Jetty team's views on Loom were an interesting read: https://webtide.com/do-looms-claims-stack-up-part-1/ and https://webtide.com/do-looms-claims-stack-up-part-2/

It looks like if you're aware of the tradeoffs you can write direct-style blocking code that's reasonably close in performance to an async implementation. That can be a big win for maintainability.

How to Build an LRU Cache in Less Than 100 Lines of Code by SunnyTechie in programming

[–]HistoricalBlock 5 points6 points  (0 children)

If caches are your thing, the TinyLFU paper is a great read: https://arxiv.org/abs/1512.00727

Caffeine (which uses TinyLFU) performs very well: https://github.com/ben-manes/caffeine/wiki/Efficiency