cargo-show-asm
flamegraph
cargo-show-asm | flamegraph | |
---|---|---|
15 | 47 | |
609 | 4,367 | |
- | 2.4% | |
9.1 | 7.4 | |
8 days ago | 16 days ago | |
Rust | Rust | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cargo-show-asm
- Performance difference between obj.function(...) and function(obj, ...) ?
- Cargo command to analyze the code
- The Icculus Microgrant is giving out 250 dollar grants to open source projects, please brag about your project(s) in this thread so I can see them!
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Announcing clap-markdown — automatically generate Markdown docs for clap command-line tools
https://github.com/pacak/cargo-show-asm/tree/semantic - how all of this is used
- cargo-show-asm 0.2.14 - new and improved all over the place :)
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cargo-show-asm 0.2.10 - new and improved all over the place :)
Go to https://github.com/pacak/cargo-show-asm/issues/new
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cargo-show-asm 0.2.4 - new and improved all over the place :)
https://github.com/pacak/cargo-show-asm/pull/88 - will release in a day or two unless there's some more urgent fixes.
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Compiling Brainfuck code - Part 2: A Singlepass JIT Compiler
In this case, I used cargo-show-wasm
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Why would introducing a panic cause a 20% performance increase
Executing cargo-show-asm on the before and after doesn't show large difference in total lines emitted (1061 vs 1102):
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Design comparison of clap and bpaf (arg parsers)
If you are using bpaf in a situation where you don't really care about the compilation time (or you do but already have proc macros) you just put the main options struct on top and describe the rest in any style: https://github.com/pacak/cargo-show-asm/blob/master/src/opts.rs
flamegraph
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Rust Tooling: 8 tools that will increase your productivity
You can install cargo-flamegraph with cargo install flamegraph. There are some underlying requirements to be able to use cargo-flamegraph; you will want to take a look at the repo here to make sure you have the right dependencies.
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Need help making sense of these benchmark results
I tried to diagnose the issue with flamegraph, but unfortunately the flamegraph didn't show anything beyond the next call for some reason
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Why is my code so slow ? advent of code 2022, day 16 (basic graph stuff)
having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go)
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why is my code so slow ? advent of code 2023, day 16 (basic graph stuff)
I'm currently implementing a solution for the first part of the day 16. It work but it is really slow... I'd like to : - understand why - having some tools to identify slowness origins (flamegraph is one... but not sure it's the way to go) - eventually have some clue/solution/idea - have general feedback on what in my "coding style" is not appropriate for rust (I come from java/kotlin/ts even if I've already coded a bit in c/c++) : for example I love iterator & sequence but i feel they are not really suited to overuse in rust (mostly because of async & result).
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how expensive is an operation?
Use a profiler. Flamegraph is a good way to visualise profiler output. This lets you identify which functions are taking up a large amount of time - and hence helps you identify where to focus your optimisation efforts.
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Slow Rust Redis
You tried trying to see what takes the most time under load via flames? https://github.com/flamegraph-rs/flamegraph
- making a virtual machine in rust
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Need help with rust performance
Well, in cases like that the answer is straight forward, use a profiler like https://github.com/flamegraph-rs/flamegraph
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superdiff - a way to find similar code blocks in projects (comments appreciated)
I don't see any obvious problems with your algorithm. I've had luck using cargo-flamegraph to identify the slow parts of my code. That's going to show you which parts to focus on improving the performance of!
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Data-driven performance optimization with Rust and Miri
From the readme of cargo flamegraph:
What are some alternatives?
cargo-asm - cargo subcommand showing the assembly or llvm-ir generated for Rust code
cargo-flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
wp-plugin-leaflet-map - Add leaflet maps to Wordpress with shortcodes
tracing - Application level tracing for Rust.
compiler-team - A home for compiler team planning documents, meeting minutes, and other such things.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
datafaker - Generating fake data for the JVM (Java, Kotlin, Groovy) has never been easier!
hashbrown - Rust port of Google's SwissTable hash map
cargo-aur - Prepare Rust projects to be released on the Arch Linux User Repository
heaptrack - A heap memory profiler for Linux
wagic - Wagic the Homebrew
snmalloc-rs - rust bindings of snmalloc