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edydfang avatar edydfang commented on July 23, 2024

The original implementation is done by the paper author in UW-Madison. My classmate and I only add a minor improvement over the implementation.

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JiananYuan avatar JiananYuan commented on July 23, 2024

Hi! So nice to read the code in your project! I wonder whether there exist any differences among the three branches (i.e., master, async, and async-level_learning)? If I want to develop based on the original Bourbon published in OSDI(2020), which branch should I choose? Besides, is it possible that I can run /scripts/run_all_expr.sh on my own x86_Linux machine (6 CPU plus 8G memory plus 20G storage) despite I cannot get access to UW-Madison? Thank you so much!

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edydfang avatar edydfang commented on July 23, 2024

Hi! So nice to read the code in your project! I wonder whether there exist any differences among the three branches (i.e., master, async, and async-level_learning)? If I want to develop based on the original Bourbon published in OSDI(2020), which branch should I choose? Besides, is it possible that I can run /scripts/run_all_expr.sh on my own x86_Linux machine (6 CPU plus 8G memory plus 20G storage) despite I cannot get access to UW-Madison? Thank you so much!

https://github.com/edydfang/Bourbon/tree/ad6abcb6ac879122dbd97f89818a4ff0960138f8
This commit is for the original bourbon.
I think your machine should be enough for testing. It depends on the benchmark size though. You can try it out.

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JiananYuan avatar JiananYuan commented on July 23, 2024

thanks a lot

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