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accheng

HN member
Joined
Mon, Feb 11, 2019, 9:54 PM UTC
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About accheng

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Recent public activity

  1. story
  2. comment
    Comment #45999697

    Thanks for the link! I am not familiar with the company but reminds me of the whole formal methods debate in distributed systems. Sure, writing TLA+ specs is the 'correct' determin…

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    Comment #45999560

    Interesting, did you have any learnings that would apply to this problem now?

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    Comment #45921087

    Check out our blog series here: ucbskyadrs.github.io!

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    Comment #45921073

    As described in our VLDB paper ( https://www.vldb.org/pvldb/vol17/p2694-cheng.pdf ), we had to implement a number of optimizations and integrate scheduling with CC to get good perf…

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    Comment #45920947

    What did you use to try to optimize scheduling?

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    Comment #45763732

    Awesome results! Did you use the simulator from the NSDI paper directly?

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    Comment #45709466

    Neat, thanks for the link! Seems like the agent feedback loop made a big difference for your use case. Would be interesting to see how much of a difference more advanced methods (l…

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    Comment #45691021

    The algorithm works for MoE load balancing in general

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    Comment #45691019

    We've found that these frameworks do well for systems performance problems and expect that the range of problems for which they apply will increase as they models and frameworks im…

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    Comment #45691005

    That's a good point! The load balancing of the original algorithm was already quite good so our goal was to try to get something that could achieve similar results but could run fa…

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    Comment #45690998

    ADRS = AI Driven Research for Systems. See our previous blog post ( https://www.sigops.org/2025/barbarians-at-the-gate-how-ai-is... ) and our paper ( https://arxiv.org/pdf/2510.061…

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    Comment #45690984

    Thanks for sharing your blog! Very interesting work, 100% agree with your 3 criteria on the sweet spot for AI. Most systems performance problems fit right in

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    Comment #45689732

    The code was quite short and easy to read. Specifying the right scoring function and scoping the problem are key parts of getting good results with ADRS.

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    Comment #45689728

    Yes, getting the right workloads and ensuring correctness are crucial parts of the process

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    Comment #45689301

    This is a great question! By analyzing the logs of OpenEvolve with the full model outputs, we observed how the AI got its ideas (seemed to be pulling from literature in the space) …

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    Comment #45688669

    As an author of the blog, I'll note that this was one of the easiest applications of ADRS. Bowen, who was leading this effort, got things running within a day or two and the initia…

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