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maknee

HN member
Joined
Thu, Dec 08, 2022, 1:45 AM UTC
HN karma
129
Public activity
30 items

About maknee

https://github.com/Maknee

Recent public activity

  1. comment
    Comment #47361173

    Thanks! Looks like I have to request the whitepaper to take a look at the details.

  2. comment
    Comment #47354938

    How effective are LLMs at triaging issues? Has anyone found success using them to find the root cause? I've only been able to triage effectively for toy examples.

  3. comment
    Comment #46623752

    https://maknee.github.io/

  4. comment
    Comment #46532370

    Great paper! Love the easy to understand explanations and detailed graphs :)

  5. comment
    Comment #46484936

    Read through the comments. Added RSS and subscribe to my blog! [1] https://maknee.github.io/blog/

  6. comment
    Comment #46198892

    It seems like the load_score serves a proxy for how much needs to be done. Is there a real value that could be used instead? The solution requires syncing with all of the GPU nodes…

  7. comment
    Comment #46117963

    Location: New York City, NY, USA (NYC) Remote: Yes Willing to relocate: No Résumé: https://www.linkedin.com/in/henry-zhu-347233121/ Email: find email on my blog OR reach out on lin…

  8. comment
    Comment #45878757

    interesting results. why does reload/cross-tile have worse results? would be nice to see some examples of failed results (how close did it to solving?)

  9. comment
    Comment #45853188

    How does this compare against other DSLs?

  10. comment
    Comment #45319143

    Great to see another distributed file system open sourced! It has some interesting design decisions. Have a couple of questions: - How do you go about benchmarking throughput / lat…

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  16. comment
    Comment #43683115

    They're going to spend time and effort into making their optimizations public. Would you rather have them keep their changes internal?

  17. comment
    Comment #43629627

    Great work! It's nice seeing another observability tool. Demo is neat and easy to navigate. Couple of questions: What's the overhead of tracing + logging observed by users? I see m…

  18. comment
    Comment #43293820

    Thanks! Those blogs are incredibly useful. Nice work on the profiler. :) I have multiple questions if you don’t mind answering them: Is there significant overhead to native unwindi…

  19. comment
    Comment #43292448

    "All of this is made possible with the inclusion of frame pointers in all of Meta’s user space binaries, otherwise we couldn’t walk the stack to get all these addresses (or we’d ha…

  20. comment
    Comment #43259569

    Does anyone have blogs with benchmarks to show the performance of running smallpond let alone 3fs + smallpond? A lot of blogs praise these new systems, but don't really provide any…

  21. comment
    Comment #43259546

    What are the results from running smallpond and 3fs? Are claims valid for 1PB and over 1PB?

  22. comment
    Comment #43040178

    You can't watch a replay from the league client that doesn't match the same version.

  23. comment
    Comment #43032422

    There's hundreds/thousands of generated one way decryption schemas for fields. However, it's not impossible to generate the decryption in another language with some effort. Example…

  24. comment
    Comment #43030332

    Glad to see another community working on similar things! I do not know how RIOT partners with external companies, so I do not know any analysis tools or datasets besides what is pu…

  25. comment
    Comment #43030194

    That's pretty cool! It's quite similar to my tool in many ways. Parsing the file, setting up the packet context and using unicorn :) The repo isn't on github. I might release it la…