HackerURLs

一次又一次被重新发现的经典。

同一个链接,相隔一年以上,一次又一次被人重新发现、再次冲上 Hacker News 首页。能经受住这种时间检验的,大多是值得一读再读的文章。每篇附中文标题,讨论最热的那些再加上中文导读和高赞评论翻译。

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  • 4,700+篇经过时间检验的经典

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上首页次数最多、而且有中文导读的 30 篇。时间轴上每个黑点是一次上首页,空心点是一次没冲上去的投稿。

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经典库

按第一次上首页的年份分布,点柱子筛选。

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    这些经典是怎么挑出来的

    1. 01

      合并同一个链接

      读取 Hacker News 自 2006 年以来的全部链接投稿,把 http/https、www、跟踪参数等写法不同的同一篇文章合并成一条。

    2. 02

      只留经得起时间的

      同一链接至少两次拿到 50 分以上(约等于上首页),而且两次相隔一年以上;再由 AI 剔除状态页、产品首页和新闻事件。

    3. 03

      写导读、译评论

      上首页次数最多的 2,000 篇配上中文导读、"为什么经久不衰",并精选翻译 HN 高赞评论。导读由 AI 生成,可能有误。

    编程与软件工程nnethercote.github.io

    Valgrind 的二十年

    Twenty years of Valgrind

    2次上首页
    2年跨度
    849累计得分
    172条评论

    2022 — 2024,它一次次回到首页

    黑点是上首页(≥ 50 分)的那次投稿,空心点是没冲上去的投稿,点越大分数越高。

    导读

    Valgrind 作者之一 Nicholas Nethercote 回顾这个动态二进制分析工具二十年来的发展:从 Julian Seward 最初为调试内存错误而写的 Memcheck,到 Cachegrind、Callgrind 等剖析工具的衍生,以及它如何成为开源世界里查找内存错误和性能瓶颈的常备工具。文中也谈及项目的维护、社区与作者个人从中获得的成长。

    为什么经久不衰:一个真正改变了无数程序员调试方式的工具,由亲历者讲述它二十年的来龙去脉,既是技术史也是开源协作的范本。

    关键词 Valgrind性能剖析内存调试开源历史

    HN 评论精选

    Callgrind 帮他定位了按值传递巨型位数组的性能杀手,也改变了他的职业处境。

    我职业生涯的一大块几乎要归功于 callgrind。当时我在一家满是博士和资深老手的公司,大家把我看作资历尚浅的新人。我们有个程序性能出了严重问题,没人知道原因,因为项目看起来不复杂,就派我去查。我用当时还很新的 callgrind 和配套的火焰图,发现我们把巨大的位数组按值传递来做寄存器分配——大到一次函数调用几乎把缓存冲干净,而其余代码都以为这些操作很廉价。当时的剖析工具还很原始,程序又是一堆共享库、奇怪的动态分配和 JIT 搅在一起,别的办法都失败后,只有 Valgrind 拿到了剖析数据。我那次汇报和提出的修复方案最终大幅提速,也终于赢得了同事的尊重,之后没有博士学位也不再是问题。后来那些离职的同事还把我招进了下一份工作。

    compiler-guy查看英文原文

    I sort of owe callgrind a big chunk of my career. I was working at a company full of PhDs and well seasoned veterans, who looked at me as a new kid, kind of underqualified to be working in their tools group. I had been at the firm for a while, and they were nice enough, but didn't really have me down as someone who was going to contribute as anything other than a very junior engineer. We had a severe problem with a program's performance, and no one really had any idea why. And as it was clearly not a sophisticated project, I got assigned to figure something out. I used the then very new callgrind and the accompanying flamegraph, and discovered that we were passing very large bit arrays for register allocation by value. Very, very large. They had started small enough to fit in registers, but over time had grown so large that a function call to manipulate them effectively flushed the cache, and the rest of the code assumed these operations were cheap. Profiling tools at the time were quite primitive, and the application was a morass of shared libraries, weird dynamic allocations and JIT, and a bunch of other crap. Valgrind was able to get the profiles after failing with everything else I could try. The presentation I made on that discovery, and my proposed fixes (which eventually sped everything up greatly), finally earned the respect of my colleagues, and no phd wasn't a big deal after that. Later on, those colleagues who had left the company invited me to my next gig. And the one after that. So thanks!

    维护者对陌生贡献者的友善态度令人难忘,团队至今在 CI 中全量跑 Valgrind。

    我曾给 valgrind 提交过一个冷门问题的修复。他们要求提供测试用例,我勉强做出来了,但有点发怵,因为一时看不出怎么把它塞进他们的测试套件。Julian Seward 的回复客气到令我从此对陌生人报 bug 都设定了很高的礼貌标准!我们现在仍然在 CI 里把整个测试套件跑在 valgrind 下。了不起的工具!

    RustyRussell查看英文原文

    I once submitted a bug fix for an obscure issue to valgrind. They asked for a test case, which I managed to provide, but I was a bit nervous as I couldn't immediately see how to fit in their test suite. The response from Julian Seward was so nice it set a permanently high bar for me when random people I don't know report bugs on my projects! We still run our entire testsuite under valgrind in CI. Amazing tool!

    调侃作者本身就是剖析工具领域的博士,如今在做 rustc 性能优化。

    难怪他优化 Rust 编译器这么厉害——他可是货真价实地拿了个剖析工具的博士学位!

    nicoburns查看英文原文

    Well damn, no wonder he’s so good at optimising the Rust compiler. He literally has a PhD in profiling tools!

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