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usamahz/cpu-performance-engineering

CPU性能学习

这是一个CPU性能工程的学习路径,从单条指令到生产环境推理,按顺序组织内容,每节附有可运行的基准测试,适合希望深入理解现代CPU性能的工程师。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/10/14 14:21:11 · 查看原文

值得看Python教程与文档
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AI 根据 README 整理 · 2026/10/14 14:21:11

目标用户

面向希望理解CPU性能工程、从指令级到生产推理的工程师。

查看 README 依据
helped. This is the reading that gets you there, in the order that makes the next piece legible. **Scope.** x86 and Arm server parts, from one instruction through to serving a model on CPU. Not language runtimes, database internals, or anything above the socket. **Evidence.** Primary sources only: the paper, the specification, the vendor manual, the repository, or a report by the person who did the work. Any number, anywhere in this repository, carries all seven fields set out in [What earns a place](#what-earns-a-place), or it is not quoted.
使用方式

这是一个阅读路径,按顺序阅读,部分章节附有可运行的基准测试,并提供一个MCP服务器供AI客户端使用。

查看 README 依据
**Proof.** Fourteen of the sections end in a benchmark under [misc/benchmarks/](misc/benchmarks/README.md): C source, the build line, the machine, the raw numbers and the analysis, all committed. Run them yourself. **Plug it in.** The MCP server in [misc/mcp/](misc/mcp/README.md) turns this list into a CPU performance brain inside any AI client: the reading order, every rejected candidate with the rule it failed, every benchmark, and an index of the linked sources built on the reader's own machine. Point it at real work and the answers quote those sources and cite them. With
[uv](https://docs.astral.sh/uv/) installed, one command adds it. **Claude Code** ```sh claude mcp add --scope user cpu-perf -- uvx cpu-perf ``` **Codex** ```sh codex mcp add cpu-perf -- uvx cpu-perf ``` Claude Desktop, Cursor and VS Code take a few lines of config, given in [Connect it](misc/mcp/README.md#connect-it). Section 1 is a path through the rest; read it top to bottom before using the numbered sections as a reference. ## Contents - [1. Start here](#1-start-here) - [2. One instruction, end to end](#2-one-instruction-end-to-end) - [Fetch and decode](#fetch-and-decode)
部署要求

需要安装uv以运行MCP服务器。

查看 README 依据
[uv](https://docs.astral.sh/uv/) installed, one command adds it. **Claude Code** ```sh claude mcp add --scope user cpu-perf -- uvx cpu-perf ``` **Codex** ```sh codex mcp add cpu-perf -- uvx cpu-perf ``` Claude Desktop, Cursor and VS Code take a few lines of config, given in [Connect it](misc/mcp/README.md#connect-it). Section 1 is a path through the rest; read it top to bottom before using the numbered sections as a reference. ## Contents - [1. Start here](#1-start-here) - [2. One instruction, end to end](#2-one-instruction-end-to-end) - [Fetch and decode](#fetch-and-decode)

README

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收录信息

仓库创建时间
2026/9/18 04:52:03
首次达标收录
2026/10/9 12:20:58
统计更新时间
2026/10/22 19:20:33

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模型评估

值得看加权总分 4.0 / 5

新颖度
3.6
实用价值
4.3
成熟度
4.5
实质含量
4.0

由 Jev 模型根据仓库描述与 README 评估,2026/10/10 13:55:41 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/10/9 02:41:07
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MIT
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91
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