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lhl

HN member
Joined
Thu, Aug 11, 2011, 9:08 PM UTC
HN karma
3,991
Public activity
983 items

About lhl

http://randomfoo.net/about

Recent public activity

  1. comment
    Comment #48827260

    I started a project w/ the assumption that fully tuned for HIP kernels could get closer to roofline and beat llama.cpp's performance (and vs their ROCm engine it does!) but after t…

  2. comment
    Comment #48806002

    The one thing that's new/worth pointing out are the https://developer.amd.com/playbooks/ ( https://github.com/amd/playbooks ) - this is AMD's answer to Nvidia's playbooks ( https:/…

  3. comment
    Comment #48790997

    You got me curious, so I made a little harness comparison to my model test suite: Model Adapter Suite Score Passed Tasks --------------------------------- ------------ ------------…

  4. comment
    Comment #48790320

    https://x.com/thsottiaux/status/2058071172361998482 "A little secret. About 5% of our production traffic is on the Pi harness, about another 5% is on OpenCode. Reminder you can use…

  5. comment
    Comment #48732119

    I've been testing Ornith-1.0 35B (my own FP8-block quant) and I like it. It runs at >200 tok/s w/ vLLM on an RTX PRO 6000 (sm120), I've run >140M cached tokens of agentic coding wo…

  6. comment
    Comment #48176611

    It's still Python, but I removed torch dependencies (HIP/C++ for hot paths): http://github.com/shisa-ai/hipEngine/ There's a docs/ folder in there that is probably of interest as w…

  7. comment
    Comment #48176589

    Took a little longer to clean up than I expected. I'd recommend checking out the ROOFLINE and the LESSONS-LEARNED docs here: https://github.com/shisa-ai/hipEngine/tree/main/docs

  8. comment
    Comment #48060640

    When it's in a good state I'll open source it, I am keeping track of what optimizations make the most impact, stuff like this: ### Diagnosing parallelism pathologies (L1) *Grid occ…

  9. comment
    Comment #48056801

    I think especially with the ability for SOTA AI to optimize kernels more people should try their hand at making better inference for their specific hardware. I have an older W7900 …

  10. comment
    Comment #48034078

    Oh, is this actually out now? If so, great, but I took a quick look and didn't spot any third party review yet. For those interested in this laptop, personally I'd still wait for s…

  11. comment
    Comment #48006617

    For those that don't want their data trained on, OpenRouter allows you to have account-wide or per-request routing with either provider.data_collection: "deny" or zdr: true (zero d…

  12. comment
    Comment #47963905

    RDNA is a whole different (and much poorer supported) animal than CDNA. As someone with extensive experience in both, if you're asking the question, then, no. (If you're just looki…

  13. comment
    Comment #47823002

    BTW, a number of corrections. The TurboQuant paper was submitted to Arxiv back in April 2025: https://arxiv.org/abs/2504.19874 Current "TurboQuant" implementations are about 3.8X-4…

  14. comment
    Comment #47671297

    As some other people mentioned, using both/multiple is the way to go if it's within your means. I've been working on a wide range of relatively projects and I find that the latest …

  15. comment
    Comment #47505810

    Like others have mentioned, I think the premise of looking at the most popular few projects (pypi.org currently lists 771,120 projects) on pypi as any sort of proxy for AI coding i…

  16. comment
    Comment #47450219

    Funy that you mention multi-monitor since it's one of the reasons I eventually moved to Wayland. The only way to support different DPI monitors in X was to do janky scaling or even…

  17. comment
    Comment #47284507

    Yes, I read it and specifically pointed it out (that's why there are 3 hours of interactive logs). There are 4 other runs pushed now so you can see what actual clean room runs for …

  18. comment
    Comment #47262662

    I am not a theoretical CS or math expert by any means, but I have been wrangling coding agents for a while and reading the paper and the problems Stapper had with dealing w/ Claude…

  19. comment
    Comment #47248455

    I was a bit interested to do a replication and see if better harness could avoid some of the problems they ran w/ context management, poor instruction following, etc and it looks l…

  20. comment
    Comment #46241471

    Anecdotally, I will say that for my toughest jobs GPT-5+ High in `codex` has been the best tool I've used - CUDA->HIP porting, finding bugs in torch, websockets, etc, it's able to …

  21. comment
    Comment #45770892

    We do live in an age of frontier LLMs... For fun, I'll just use Kimi K2 (on Kagi Assistant). > Can you explain what this means and its significance? Assume that I'm a layperson wit…

  22. comment
    Comment #45464121

    Looks great, thanks for the suggestion!

  23. comment
    Comment #45463405

    I'd previously been giving Hyprland a try, but after lots of customization work, there were still a bunch of things I wasn't happy with and ended back on GNOME as a "just let me ge…

  24. comment
    Comment #45049303

    In Linux, you can set it as high as you want, although you should probably have a swap drive and still be prepared for you system to die if you set it to 128GiB. Here's how you'd s…

  25. comment
    Comment #45049273

    RDNA3 CUs do not have FP8 support and its INT8 runs at the same speed as FP16 so Strix Halo's max theoretical is basically 60 TFLOPS no matter how you slice it (well it has double …