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Added OSDI paper and citation info.
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emeryberger committed Nov 23, 2023
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22 changes: 22 additions & 0 deletions README.md
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For details about how Scalene works, please see the following paper, which won the Jay Lepreau Best Paper Award at [OSDI 2023](https://www.usenix.org/conference/osdi23/presentation/berger): [Triangulating Python Performance Issues with Scalene](https://arxiv.org/pdf/2212.07597). (Note that this paper does not include information about the AI-driven proposed optimizations.)

<details>
<summary>
To cite Scalene in an academic paper, please use the following:
</summary>
```latex
@inproceedings{288540,
author = {Emery D. Berger and Sam Stern and Juan Altmayer Pizzorno},
title = {Triangulating Python Performance Issues with {S}calene}},
booktitle = {{17th USENIX Symposium on Operating Systems Design and Implementation (OSDI 23)}},
year = {2023},
isbn = {978-1-939133-34-2},
address = {Boston, MA},
pages = {51--64},
url = {https://www.usenix.org/conference/osdi23/presentation/berger},
publisher = {USENIX Association},
month = jul
}
```
</details>


# Success Stories

If you use Scalene to successfully debug a performance problem, please [add a comment to this issue](https://github.com/plasma-umass/scalene/issues/58)!


# Acknowledgements

Logo created by [Sophia Berger](https://www.linkedin.com/in/sophia-berger/).
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5 changes: 2 additions & 3 deletions scalene/scalene_profiler.py
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https://github.com/plasma-umass/scalene
See the paper "docs/scalene-paper.pdf" in this repository for technical
details on an earlier version of Scalene's design; note that a
number of these details have changed.
See the paper "docs/osdi23-berger.pdf" in this repository for technical
details on Scalene's design.
by Emery Berger
https://emeryberger.com
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