criterion.rs
flamegraph
criterion.rs | flamegraph | |
---|---|---|
30 | 47 | |
4,195 | 4,325 | |
- | 2.9% | |
6.5 | 7.4 | |
21 days ago | about 23 hours 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.
criterion.rs
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How to benchmark in Rust with libtest bench
The three popular options for benchmarking in Rust are: libtest bench, Criterion, and Iai.
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Divan: Fast and Simple Benchmarking for Rust
Holy crap. I was just writing a blog to complain about the state of Rust benchmarking and I think this might address most of my points. The biggest one is the ability to have benchmarks collocated within the library like tests which is the biggest annoyance.
It’s also nice to see that it can report multiple counters in parallel. I put up a similar feature[1] for criterion recently but I fear the project isn’t being maintained anymore…
Haven’t looked deeply into divan yet but the other requirements I have for criterion’s power is to run tests with statistical guarantees on the results, terminate quickly when statistical significance is reached (—quick), provide a comparison of the delta from a previous benchmark, and to run async code. Wonder how this stacks up.
[1] https://github.com/bheisler/criterion.rs/pull/722
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how expensive is an operation?
criterion for benchmarks,
- Autometrics 0.4: Spot commits that introduce errors or slow down your application
- Performance-related question
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How can I further optimize this file parser? (std, serde, diesel)
For an extra optimization, you might look into techniques like branchless code, turning array of structs into struct of arrays for better cache utilization/lowering branch mispredictions. There is many talks on YouTube how to actually measure and improve performance of native code. And for rust there is a criterion.rs for benchmarking.
- making a virtual machine in rust
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How much does Rust's bounds checking cost?
https://github.com/bheisler/criterion.rs is good for tests like that. It will give you much more than a single number and handle things like outliers. This makes identifying noisy tests simpler.
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Tips in using criterion to properly benchmark a database?
I have tried many ways but I think is not possible. I put it on https://github.com/bheisler/criterion.rs/issues/631.
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Rust 1.64 Became 10-20% Faster On Windows
Criterion is still the gold standard.
Pros for Criterion over the stdlib: https://github.com/bheisler/criterion.rs#features
Downsides of Criterion: https://bheisler.github.io/criterion.rs/book/user_guide/know...
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?
hyperfine - A command-line benchmarking tool
cargo-flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
sqlglot - Python SQL Parser and Transpiler
tracing - Application level tracing for Rust.
glassbench - A micro-benchmark framework to use with cargo bench
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
hashbrown - Rust port of Google's SwissTable hash map
heaptrack - A heap memory profiler for Linux
tungstenite-rs - Lightweight stream-based WebSocket implementation for Rust.
snmalloc-rs - rust bindings of snmalloc