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dklend122

HN member
Joined
Sun, Mar 22, 2020, 4:54 PM UTC
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503
Public activity
111 items

About dklend122

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Recent public activity

  1. comment
    Comment #31424013

    What are the goals and positioning of pyston given these other efforts?

  2. comment
    Comment #31398280

    If packages use generic indexing functions like eachindex, there would be no correctness issue with that specific example

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    Comment #31398239

    That's exactly where Dex might improve over Julia, with language level control over mutability and effect handlers and array access safety ... time will tell. So packages just use …

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    Comment #31269763

    Please see my comment here: https://news.ycombinator.com/item?id=31269739 Based on the above, I expect more than marginal improvements in these areas. Would you agree?

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    Comment #31269739

    There are several repeating (valid) critiques. There is also a sense that things won't get better. I don't think that's necessarily the case. I can't give timelines, but I'll list …

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    Comment #30573796

    Cool! Is this built on genie and stipple? Will they remind free and mit licensed? How will integration with python work ?

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    Comment #29830685

    Can you please open up an issue on Jet.jl? Even if you can't provide a MWE, it would be helpful to share these experiences

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    Comment #29492420

    Cool! Looking forward to seeing some of the trait work

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    Comment #29491205

    Hi, cool paper! semi related questions: What do you think of JET.jl? Tension between Method ambiguities and desire for traits or multiple inheritance is something discussed in the …

  11. comment
    Comment #29471929

    Yes, but that's only required for one of those packages. One of Julia's benefits is that the compiler is hackable so high level abstractions can be experimented with in user space.…

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    Comment #29466364

    There's work being done to solve this in Julia. See escapeanalysis.jl and the immutable array pr in base

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    Comment #28086587

    In Julia it's easy to run the entire thing on CUDA: https://github.com/fabricerosay/AlphaGPU No C or any other language required because Julia has GPU codegen. You can also keep MC…

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    Comment #28086545

    Yea, I meant parity for vanilla ML models. For anything off that beaten path it's much much faster

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    Comment #27978422

    Note: This is a sanctioned adaptation by members of the Julia community.

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    Comment #27933979

    That makes sense, thanks ! Good luck to you as well.

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    Comment #27884015

    Composability, speed, static analysis, type system, abstractions, user defined compiler passes, metaprogramming, ffi, soon static compilation, differentiability and more create an …

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    Comment #27315592

    Can you please post a pointer to the thread in question?