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Sorting Algorithms: Speed Is Found In The Minds of People - Andrei Alexandrescu - CppCon 2019

Andrei Alexandrescu's CppCon 2019 talk revisits sorting, showing how branchless tricks, hybrid strategies and a cost metric can speed up std::sort-style algorithms on modern hardware.

Why HN readers recommended it

HN recommends it as an entertaining talk that starts simple and goes deep on practical performance optimization.

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
sorting performance
Format
talk
Level
advanced
HN recommenders in dataset
7
HN mentions in dataset
11
Recommendation years in dataset
2019–2024

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.

  • Not exactly a lecture series, but Andrei Alexandrescu has had some fantastic keynote presentations at CppCon. I don't even program in C++ any more, but I've watched these more than once, they're entertaining, approachable, and inspiring: Speed Is Found In The Minds of People [VIDEO] …

    jiggawatts on Hacker News · 2023-01
    In Ask HN: What's the best lecture series you've ever seen?
  • I really enjoyed “Speed Is Found In The Minds Of People”, a talk by Andrei Alexandrescu. At first he is just showing simple stuff, but stay with it, he goes deep. [VIDEO]

    bboreham on Hacker News · 2023-12
    In Ask HN: Programming Courses for Experienced Coders?
  • If you're interested in these types of implementation/optimization details, Andrei Alexandrescu gave a great talk at this year's CppCon about practical sorting, e.g. when to break out of quicksort to something else: [VIDEO]

    United857 on Hacker News · 2019-10
    In Engineering a Sort Function (1993) [pdf]

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