This reduces the size of cursor by a usize when the summary does not
require a context making Cursor usages and constructions slightly more
efficient.
This change is a bit annoying though, as Rust has no means of
specializing, so this uses a `ContextlessSummary` trait with a blanket
impl while turning the `Context` into a GAT `Context<'a>`. This means
`Summary` implies are a bit more verbose now while contextless ones are
slimmer. It does come with the downside that the lifetime in the GAT is
always considered invariant, so some lifetime splitting occurred due to
that.
```
push/4096 time: [352.65 µs 360.87 µs 367.80 µs]
thrpt: [10.621 MiB/s 10.825 MiB/s 11.077 MiB/s]
change:
time: [-2.6633% -1.3640% -0.0561%] (p = 0.05 < 0.05)
thrpt: [+0.0561% +1.3828% +2.7361%]
Change within noise threshold.
Found 16 outliers among 100 measurements (16.00%)
7 (7.00%) low severe
3 (3.00%) low mild
2 (2.00%) high mild
4 (4.00%) high severe
push/65536 time: [1.2917 ms 1.2949 ms 1.2979 ms]
thrpt: [48.156 MiB/s 48.267 MiB/s 48.387 MiB/s]
change:
time: [+1.4428% +1.9844% +2.5299%] (p = 0.00 < 0.05)
thrpt: [-2.4675% -1.9458% -1.4223%]
Performance has regressed.
Found 3 outliers among 100 measurements (3.00%)
1 (1.00%) low severe
1 (1.00%) low mild
1 (1.00%) high severe
append/4096 time: [677.87 ns 678.87 ns 679.83 ns]
thrpt: [5.6112 GiB/s 5.6192 GiB/s 5.6274 GiB/s]
change:
time: [-0.8924% -0.5017% -0.1705%] (p = 0.00 < 0.05)
thrpt: [+0.1708% +0.5043% +0.9004%]
Change within noise threshold.
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) low mild
1 (1.00%) high mild
append/65536 time: [9.3275 µs 9.3406 µs 9.3536 µs]
thrpt: [6.5253 GiB/s 6.5344 GiB/s 6.5435 GiB/s]
change:
time: [+0.5409% +0.7215% +0.9054%] (p = 0.00 < 0.05)
thrpt: [-0.8973% -0.7163% -0.5380%]
Change within noise threshold.
slice/4096 time: [27.673 µs 27.791 µs 27.907 µs]
thrpt: [139.97 MiB/s 140.56 MiB/s 141.16 MiB/s]
change:
time: [-1.1065% -0.6725% -0.2429%] (p = 0.00 < 0.05)
thrpt: [+0.2435% +0.6770% +1.1189%]
Change within noise threshold.
Found 5 outliers among 100 measurements (5.00%)
4 (4.00%) low mild
1 (1.00%) high mild
slice/65536 time: [507.55 µs 517.40 µs 535.60 µs]
thrpt: [116.69 MiB/s 120.80 MiB/s 123.14 MiB/s]
change:
time: [-1.3489% +0.0599% +2.2591%] (p = 0.96 > 0.05)
thrpt: [-2.2092% -0.0598% +1.3674%]
No change in performance detected.
Found 8 outliers among 100 measurements (8.00%)
5 (5.00%) low mild
2 (2.00%) high mild
1 (1.00%) high severe
bytes_in_range/4096 time: [3.3917 µs 3.4108 µs 3.4313 µs]
thrpt: [1.1117 GiB/s 1.1184 GiB/s 1.1247 GiB/s]
change:
time: [-5.3466% -4.7193% -4.1262%] (p = 0.00 < 0.05)
thrpt: [+4.3038% +4.9531% +5.6487%]
Performance has improved.
Found 6 outliers among 100 measurements (6.00%)
1 (1.00%) low mild
5 (5.00%) high mild
bytes_in_range/65536 time: [88.175 µs 88.613 µs 89.111 µs]
thrpt: [701.37 MiB/s 705.31 MiB/s 708.82 MiB/s]
change:
time: [-0.6935% +0.3769% +1.4655%] (p = 0.50 > 0.05)
thrpt: [-1.4443% -0.3755% +0.6984%]
No change in performance detected.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
chars/4096 time: [678.70 ns 680.38 ns 682.08 ns]
thrpt: [5.5927 GiB/s 5.6067 GiB/s 5.6206 GiB/s]
change:
time: [-0.6969% -0.2755% +0.1485%] (p = 0.20 > 0.05)
thrpt: [-0.1483% +0.2763% +0.7018%]
No change in performance detected.
Found 9 outliers among 100 measurements (9.00%)
5 (5.00%) low mild
4 (4.00%) high mild
chars/65536 time: [12.720 µs 12.775 µs 12.830 µs]
thrpt: [4.7573 GiB/s 4.7778 GiB/s 4.7983 GiB/s]
change:
time: [-0.6172% -0.1110% +0.4179%] (p = 0.68 > 0.05)
thrpt: [-0.4162% +0.1112% +0.6211%]
No change in performance detected.
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) low mild
1 (1.00%) high mild
clip_point/4096 time: [33.240 µs 33.310 µs 33.394 µs]
thrpt: [116.98 MiB/s 117.27 MiB/s 117.52 MiB/s]
change:
time: [-2.8892% -2.6305% -2.3438%] (p = 0.00 < 0.05)
thrpt: [+2.4000% +2.7015% +2.9751%]
Performance has improved.
Found 12 outliers among 100 measurements (12.00%)
1 (1.00%) low mild
4 (4.00%) high mild
7 (7.00%) high severe
clip_point/65536 time: [1.6531 ms 1.6586 ms 1.6640 ms]
thrpt: [37.560 MiB/s 37.683 MiB/s 37.808 MiB/s]
change:
time: [-6.6381% -5.9395% -5.2680%] (p = 0.00 < 0.05)
thrpt: [+5.5610% +6.3146% +7.1100%]
Performance has improved.
Found 7 outliers among 100 measurements (7.00%)
1 (1.00%) low mild
2 (2.00%) high mild
4 (4.00%) high severe
point_to_offset/4096 time: [11.586 µs 11.603 µs 11.621 µs]
thrpt: [336.15 MiB/s 336.67 MiB/s 337.16 MiB/s]
change:
time: [-14.289% -14.111% -13.939%] (p = 0.00 < 0.05)
thrpt: [+16.197% +16.429% +16.672%]
Performance has improved.
Found 12 outliers among 100 measurements (12.00%)
3 (3.00%) low severe
5 (5.00%) low mild
4 (4.00%) high mild
point_to_offset/65536 time: [527.74 µs 532.08 µs 536.51 µs]
thrpt: [116.49 MiB/s 117.46 MiB/s 118.43 MiB/s]
change:
time: [-6.7825% -4.6235% -2.3533%] (p = 0.00 < 0.05)
thrpt: [+2.4100% +4.8477% +7.2760%]
Performance has improved.
Found 8 outliers among 100 measurements (8.00%)
4 (4.00%) high mild
4 (4.00%) high severe
cursor/4096 time: [16.154 µs 16.192 µs 16.232 µs]
thrpt: [240.66 MiB/s 241.24 MiB/s 241.81 MiB/s]
change:
time: [-3.2536% -2.9145% -2.5526%] (p = 0.00 < 0.05)
thrpt: [+2.6194% +3.0019% +3.3630%]
Performance has improved.
Found 5 outliers among 100 measurements (5.00%)
1 (1.00%) low mild
2 (2.00%) high mild
2 (2.00%) high severe
cursor/65536 time: [509.60 µs 511.24 µs 512.93 µs]
thrpt: [121.85 MiB/s 122.25 MiB/s 122.65 MiB/s]
change:
time: [-7.3677% -6.6017% -5.7840%] (p = 0.00 < 0.05)
thrpt: [+6.1391% +7.0683% +7.9537%]
Performance has improved.
Found 6 outliers among 100 measurements (6.00%)
3 (3.00%) high mild
3 (3.00%) high severe
```
Release Notes:
- N/A *or* Added/Fixed/Improved ...
Welcome to GPUI!
GPUI is a hybrid immediate and retained mode, GPU accelerated, UI framework for Rust, designed to support a wide variety of applications.
Getting Started
GPUI is still in active development as we work on the Zed code editor and isn't yet on crates.io. You'll also need to use the latest version of stable Rust and be on macOS or Linux. Add the following to your Cargo.toml:
gpui = { git = "https://github.com/zed-industries/zed" }
Everything in GPUI starts with an Application. You can create one with Application::new(), and kick off your application by passing a callback to Application::run(). Inside this callback, you can create a new window with App::open_window(), and register your first root view. See gpui.rs for a complete example.
Dependencies
GPUI has various system dependencies that it needs in order to work.
macOS
On macOS, GPUI uses Metal for rendering. In order to use Metal, you need to do the following:
- Install Xcode from the macOS App Store, or from the Apple Developer website. Note this requires a developer account.
Ensure you launch Xcode after installing, and install the macOS components, which is the default option. If you are on macOS 26 (Tahoe) you will need to use
--features gpui/runtime_shadersor add the feature in the rootCargo.toml
-
Install Xcode command line tools
xcode-select --install -
Ensure that the Xcode command line tools are using your newly installed copy of Xcode:
sudo xcode-select --switch /Applications/Xcode.app/Contents/Developer
The Big Picture
GPUI offers three different registers depending on your needs:
-
State management and communication with
Entity's. Whenever you need to store application state that communicates between different parts of your application, you'll want to use GPUI's entities. Entities are owned by GPUI and are only accessible through an owned smart pointer similar to anRc. See theapp::contextmodule for more information. -
High level, declarative UI with views. All UI in GPUI starts with a view. A view is simply an
Entitythat can be rendered, by implementing theRendertrait. At the start of each frame, GPUI will call this render method on the root view of a given window. Views build a tree ofelements, lay them out and style them with a tailwind-style API, and then give them to GPUI to turn into pixels. See thedivelement for an all purpose swiss-army knife of rendering. -
Low level, imperative UI with Elements. Elements are the building blocks of UI in GPUI, and they provide a nice wrapper around an imperative API that provides as much flexibility and control as you need. Elements have total control over how they and their child elements are rendered and can be used for making efficient views into large lists, implement custom layouting for a code editor, and anything else you can think of. See the
elementmodule for more information.
Each of these registers has one or more corresponding contexts that can be accessed from all GPUI services. This context is your main interface to GPUI, and is used extensively throughout the framework.
Other Resources
In addition to the systems above, GPUI provides a range of smaller services that are useful for building complex applications:
-
Actions are user-defined structs that are used for converting keystrokes into logical operations in your UI. Use this for implementing keyboard shortcuts, such as cmd-q. See the
actionmodule for more information. -
Platform services, such as
quit the apporopen a URLare available as methods on theapp::App. -
An async executor that is integrated with the platform's event loop. See the
executormodule for more information., -
The
[gpui::test]macro provides a convenient way to write tests for your GPUI applications. Tests also have their own kind of context, aTestAppContextwhich provides ways of simulating common platform input. Seeapp::test_contextandtestmodules for more details.
Currently, the best way to learn about these APIs is to read the Zed source code, ask us about it at a fireside hack, or drop a question in the Zed Discord. We're working on improving the documentation, creating more examples, and will be publishing more guides to GPUI on our blog.