nodejs / nodejs/node

os.cpus().length performance on modern AMD CPUs inside containers

未关闭
#61,998 6 条评论 0 个 reaction 已指派 0 人 在 GitHub 查看

还没有人认领这个 Issue。

主要语言
JavaScript
星标
122k
派生
37.4k
平均合并
4 天 3 小时
30 天内合并 PR
272

描述

Version

v24.14.0

Platform
- Bare metal machine
- Host: Linux Ubuntu 24
- Container Image: `node:alpine-24`
- CPU: `AMD EPYC 4584PX 16-Core Processor`
Subsystem

os

What steps will reproduce the bug?

Firstly, I'm not entirely sure if this is a bug, so apologies if this is known or in the wrong spot - it just feels like something that shouldn't be this slow vs other platforms. I couldn't find any other real references to this other than a discussion at https://github.com/nodejs/performance/issues/93 which mentions this being slow.

With a modern AMD CPU such as the one listed above, run the following with Docker:

  • docker run --rm node:24-alpine node -e "console.time('cpus'); os.cpus().length; console.timeEnd('cpus')"

I've also attached an strace output for reference. It seems to iterate over /sys/devices/system/cpu/cpuN/cpufreq/scaling_cur_freq, some of which can take 20ms to return.

strace.log

How often does it reproduce? Is there a required condition?

This requires a modern AMD CPU, with Linux, and run within a container. Otherwise it seems to happen almost 100% of the time in our testing.

What is the expected behavior? Why is that the expected behavior?

I would expect it to return much more quickly as it does on Intel systems.

What do you see instead?

cpus: 649.982ms
regularly >500ms runtime on a machine with 32 cores.

Additional information

No response

贡献指南

打开贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

首先,在所列出的 AMD/Linux 设置上复现 issue 中的 Docker 命令,并检查附带的 strace.log。跟踪读取 scaling_cur_freq 的 os.cpus() 路径,然后将其行为与 Intel 系统进行比较;完成的标准是测量到的调用速度显著提升,同时不改变其结果。

由索引模型根据 Issue 内容生成。

评估

技术栈
docker, javascript, linux, node.js
领域
operating-systems, performance
Issue 类型
缺陷
难度
4/5
预计耗时
3-5 天
活跃度
冷清
描述清晰度
基本清楚
新手友好度
45/100

把新 issue 发到你的邮箱

精选适合新手参与的 GitHub issue 摘要。