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Posts on maleadt

Personal blog · blog.maleadt.netprogrammingsystems

Posts on maleadt is a personal blog at blog.maleadt.net about programming and systems. Since 2015, 4 different Hacker News readers have linked it 4 times, most often “Compiling Julia for NVIDIA GPUs”. The last post was in 2018, but the archive is still widely read.

Visit the blog
4mentions?
4HN people?
2015–2020first – last linked?
Links on Hacker News per year · peak 2 in 2015

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

A Julia developer's blog, linked in HN threads on climate change and technology and on fast object detection. Comments discuss Julia's performance, distributed computing, Flux, and GPU compilation.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Compiling Julia for NVIDIA GPUs
    3 people · 3 mentions · first linked 2015-02-03

What Hacker News says?

  1. > It won't implicitly solve distributed computing Why not? It's out to explicitly address distributed computing - http://docs.julialang.org/en/latest/manual/parallel-computin... Julia is performance-competitive with C++ and Fortran, and productivity-competitive with Python. It's out to do both. Julia code compiles to LLVM and is incredibly "close to the metal" including SIMD, ref http://docs.julialang.org/en/latest/…

    Comment linking /2015/01/15/julia-cuda/

    on “What can a technologist do about climate change?”
  2. Submitted Compiling Julia for NVIDIA GPUs as a story · 102 points

    HN discussion
  3. Yes, I have done non-trivial implementations of a number of SoTA models in Julia. The framework I've used is Flux[1] which I love for it's simplicity, it is very much like the DarkNet[2] framework in that regard which is refreshing after using TensorFlow. PyTorch is much better about not having unnecessary complexity and a sensible API but Flux is certainly better. The ability for Julia to compile directly to PTX as…

    Comment linking /2015/01/15/julia-cuda/

    on “Object Detection from 9 FPS to 650 FPS”
  4. Submitted Bugs in Julia with AFL and C-Reduce as a story · 4 points

    HN discussion

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