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THE VIDEO SHELF · floating-point string conversion

Stephan T. Lavavej “Floating-Point ＜charconv＞: Making Your Code 10x Faster With C++17's Final Boss”

Stephan T. Lavavej's CppCon 2019 talk on implementing floating-point to_chars and from_chars in Microsoft's C++ STL. It covers the history of float-string conversion and the algorithms that make it much faster.

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Why HN readers recommended it

HN calls it a surprisingly fun, approachable talk on a hard problem and cites it in floating-point threads.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
CppCon
Topic
floating-point string conversion
Format
talk
Level
intermediate
HN recommenders in dataset
3
HN mentions in dataset
5
Recommendation years in dataset
2020–2022

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • I really love this talk in particular: [VIDEO] (On charconv) But any of the ones I've seen from Stephan have been fantastic, I think, although I'm not actually sure if I've seen more. He seems to have a lot of talks on very specific subjects, …

    Forricide on Hacker News · 2022-09
    In C++20, How Hard Could It Be

  • For those interested in more information about performance was achieved, Stephan Lavavej gave a talk about this very subject during CppCon 2019 [1]. [1] [VIDEO]

    osolo on Hacker News · 2020-09
    In Parsing floats in C++: benchmarking strtod vs. from_chars

  • Stephan T Lavavej also had a surprisingly fun and approachable talk on that problem, talking about how charconv got implemented and improved in Microsoft's C++ standard library: [VIDEO]

    ygra on Hacker News · 2020-10
    In Rendering floating numbers: advances in problems you didn’t know you had (2011)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.