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Hello,
I am currently working on implementing an automatic benchmark run in our project to compare two builds before and after making any changes. The benchmarking process takes place on our Contin…
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Make a nice diagram 😄
https://diagrams.mingrammer.com/
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These hosted testbeds would make it easy to create and deploy continuous benchmarking workflows that have much less noise than shared CI runners.
Something like AWS Bare Metal for the most extreme …
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### Checklist
- [X] I've read the [contribution guidelines](https://github.com/autowarefoundation/autoware/blob/main/CONTRIBUTING.md).
- [X] I've searched other issues and no duplicate issues were fo…
xmfcx updated
1 month ago
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This a pinpoint to not lost the benchmarking subthread started at https://github.com/tensorflow/tensorflow/pull/33945#issuecomment-652471742
Quoting @zongweiz
> We have [TF2 benchmarks] (https://g…
bhack updated
4 years ago
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Cargo has [built in support for micro-benchmarking](https://doc.rust-lang.org/cargo/commands/cargo-bench.html) which allows us to regularly measure the overhead of Goose itself. The goal of this issue…
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fmt.*printf's "%s" verb converts values to strings in a performant
way so no need to cast and unnecessarily allocate byteslice->string
conversions.
Noticed from our benchmarking per
https://dashboar…
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Automate running benchmarks on some cadence (e.g., on release, on PR, etc.) and track the results over time to catch regressions in performance.
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Use [air speed velocity](http://asv.readthedocs.org/en/latest/), which measures performance (including timing, memory usage, or arbitrary other things), developed at the Space Telescope Science Instit…
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For many range type questions, the set of possible outcome values is discrete. Current examples:
https://www.metaculus.com/questions/28845/how-many-of-the-q3-2024-top-16-will-be-in-top-16-in-q4-2024/…