I just attempted to write up a simple Minesweeper game with Iced. No bells or whistles, but it works:

https://github.com/veniamin-ilmer/minesweeper

On one hand, I find it pretty cool I built a clear cross platform GUI with actual functionality, within only 200 lines of code.

On the other hand, I can’t help but see how inefficient it seems. If I ever need to modify any of the objects, I need to redraw all of them. The structure of the view method makes me think it is very difficult for Iced to maintain a “virtual DOM” to only make delta changes.

Am I wrong? Is there a more efficient way to do this in Iced?

Edit: I just found this - https://github.com/iced-rs/iced/pull/1284

As the library matures, the need for some kind of persistent widget data (see #553) between view calls becomes more apparent (e.g. incremental rendering, animations, accessibility, etc.).

If we are going to end up having persistent widget data anyways… There is no reason to have impure, stateful widgets anymore!

So it seems like Iced plans to have an internal “persistent widget storage”, which in abstracted away from the user. But it is quite unclear to me how they would accomplish this, considering the view method doesn’t provide an ID for any of its objects, so it would not be easy for Iced to determine the difference between updates.

  • Michael Murphy (S76)@lemmy.world
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    1 year ago

    As long as you store state in your application’s struct so that there’s no need to calculate and allocate in the view, then the view is quick to generate. You can also use lazy widgets that will avoid being re-recreated unless a given input has changed. Have you benchmarked to compare? You’d be surprised how efficient it is compared to heavier frameworks like GTK.

    • van2z@programming.devOP
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      1 year ago

      mmstick, it is always good to hear from you. You frequently provide a huge depth of knowledge in your comments.

      I come from a windows background. If I want to make a memory efficient GUI, I always used native windows GUI libraries. All other frameworks have always seemed like they took up much more memory and CPU. This always annoyed me.

      My little Minesweeper game is taking 78 MB of memory (with --release).

      At the same time, Excel is only 2.5 MB, Notepad++ is only 1.9 MB.

      Recently I found out that a lot of memory and CPU is used up simply to communicate with the GPU. I am confused about this… Does Excel not use the GPU?

      I am sorry, I feel like I am starting to rant here. This memory issue has been annoying me for a while, and I have not heard anyone provide a clear reason why these complicated apps seems to take up much less memory than any simple cross-compatible app I build.

      • Michael Murphy (S76)@lemmy.world
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        1 year ago

        The application crashes when I start it, perhaps due to wgpu. After switching to iced = { git = "https://github.com/pop-os/iced" }, I’m able to run it and see 7.7 MB memory consumption. We use a software-based renderer by default. Keep in mind though that Windows also doesn’t accurately report memory usage, and in Rust we have everything statically-linked into the binary. And there’s a lot of stuff being embedded and cached in memory at the moment as these libraries are being developed.

    • chrysn@chaos.social
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      1 year ago

      Last time I checked, GTK could do laziness well where it matters (lists /trees), but admittedly that was some time ago.

      • Michael Murphy (S76)@lemmy.world
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        1 year ago

        I’m mainly referring to how GTK is a very high level toolkit with many layers of abstractions and a number of complex functionalities built-in by default. Whereas iced in comparison is a low level library where you have to bring your own toolkit, or do it raw.

        You might be surprised by how heavy some of the more established GUI toolkits are, which you don’t see because the abstractions hidden from view in dozens of event loops running asynchronously in the background on the same local thread.

        Iced widgets are collectively compiled down to a single state machine that pushes messages to a streamlined singular event loop. Commands and subscriptions are spawned on background thread(s). The Elm model gives you freedom to manage all of your memory in a central location efficient. So you can easily render a complex responsive UI at 240 FPS even if you’re using software rendering.