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Paul Bridger

Personal blog · paulbridger.com/posts · on HN as briggersaiprogrammingsystems

Paul Bridger's personal blog at paulbridger.com covers ai, programming and systems. Since 2020, 3 different Hacker News readers have linked it 16 times, most often “Solving Machine Learning Performance Anti-Patterns: A Systematic Approach”. The last post was in 2023, but the archive is still widely read.

Visit the blog
16mentions?
3HN people?
2020–2024first – last linked?
Links on Hacker News per year · peak 5 in 2021

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

Linked for PyTorch optimization case studies, which one commenter recommends as a source for ML engineering performance work.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Deep dive machine learning articles with a focus on solving the hard problems in production engineering.

The author on HN?

briggers · 363 karma · member since 2011

paul@paulbridger.com

From their public HN profile, which links to this site.

Most-linked posts?

  1. Solving Machine Learning Performance Anti-Patterns: A Systematic Approach
    2 people · 3 mentions · first linked 2021-06-28
  2. PyTorch Performance Features and How They Interact
    2 people · 2 mentions · first linked 2023-04-23
  3. Object Detection at 2530 FPS with TensorRT and 8-Bit Quantization
    2 people · 2 mentions · first linked 2021-01-03
  4. PyTorch Memory Tuning
    2 people · 2 mentions · first linked 2023-08-02

What Hacker News says?

  1. tanelpoder · 2024-01-23Recommends
    Yes - understand first, then fix. And you’ll understand by measuring/profiling things. I’d also recommend the detailed pytorch optimization case studies by Paul Bridger: https://paulbridger.com/

    Comment linking /

    on “ML Engineering Online Book”
  2. Submitted Object Detection from 9 FPS to 650 FPS as a story · 165 points

    HN discussion
  3. Absolutely yes. I write fairly deep ML performance tuning articles at https://paulbridger.com and the (many) hours I've spent on each article have been hugely worth it. Many people reach out to me via this work, and when we talk they already see me as an expert or already want to work with me. I need to blog more, thanks for the reminder.

    Comment linking /

    on “Ask HN: Is having a personal blog/brand worth it for you?”
  4. Submitted Object Detection at 1840 FPS with TorchScript, TensorRT and DeepStream as a story · 162 points

    HN discussion
  5. Machine learning productionization: https://paulbridger.com

    Comment linking /

    on “Ask HN: Could you share your personal blog here?”
  6. Submitted Solving Machine Learning Performance Anti-Patterns: A Systematic Approach as a story · 54 points

    HN discussion
  7. Submitted Solving Machine Learning Performance Anti-Patterns: A Systematic Approach as a story · 10 points

    HN discussion
  8. Submitted Object Detection at 2530 FPS with TensorRT and 8-Bit Quantization as a story · 9 points

    HN discussion
  9. Submitted Mastering TorchScript: Tracing vs. Scripting, Device Pinning, Graph Modification as a story · 7 points

    HN discussion
  10. Submitted Mastering TorchScript: Tracing vs. Scripting, Device Pinning, Graph Modification as a story · 7 points

    HN discussion
  11. Submitted Solving Machine Learning Performance Anti-Patterns: A Systematic Approach as a story · 2 points

    HN discussion
  12. Submitted Object Detection at 2530 FPS with TorchScript, TensorRT, and 8-Bit Quantization as a story · 2 points

    HN discussion
  13. Submitted PyTorch Memory Tuning as a story · 1 points

    HN discussion
  14. Submitted PyTorch Memory Tuning as a story · 1 points

    HN discussion
  15. Submitted PyTorch Performance Features and How They Interact as a story · 1 points

    HN discussion
  16. Submitted PyTorch Performance Features and How They Interact as a story · 1 points

    HN discussion

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