lingquan11/cpp-matmul-performance
Resource
Can I trust it?
Worth a closer look before you use it.
Warnings Check
Very new: it was created 9 days ago. Wait a little before installing it.
Stars from real accounts No data
We haven't checked its stars for fakes yet.
Active OK
Last change 2 days ago.
Licence OK
MIT: you can use it for free, also in a commercial product. Keep the licence notice.
Quick checks from public data. They help, but they are no guarantee.
What it is
Student C++ experiment measuring how naive matrix multiplication time scales with matrix size and loop order (ijk vs ikj), with correctness checks and a blocked (tiled) variant. Timings are CPU-only; no NPU or systolic array measurements are included yet.
Who it's for
C++ learners and students studying CPU performance, cache locality and loop ordering, or beginning NPU fundamentals
How to use it
Ask your AI to set it up
Paste this into Claude, ChatGPT or your coding assistant.
Help me install and set up lingquan11/cpp-matmul-performance in my project. Follow its README: https://github.com/lingquan11/cpp-matmul-performance. Explain each step and check it is safe before running anything.
Star curve
Get alerts for repos like this
We'll email you when something in Dev infrastructure starts rising. Free, once a week, only what matches.
23,097 GitHub repos watched and ranked every hour. Figures as of 31 October 2026.
What arrives: one email on Mondays with the repos that match, never more. See last week's. Privacy
For maintainers
Add this badge to your README. It shows the repo's place on the radar, updates every hour and links back to this page.
[](https://repoalerts.com/repo/lingquan11/cpp-matmul-performance?ref=badge)Similar repos
- chenglou/handwired
A research project that compiles ordinary JavaScript/TypeScript control flow (if-else, loops, state) into a matrix multiplication network using only addition, multiplication and ReLU over floats. The
- lingquan11/ai-chip-explorer
Codex skill that acts as a conversational guide for beginners exploring AI chip directions, trying light hands-on tasks, and developing research ideas. The README is in Chinese, the project is a first
- EgorBo/BlazingFastDotnet
A collection of tips and tricks for tuning .NET 10 and 11 workloads for better performance, mostly aimed at benchmarks. Packaged as a SKILL.md file that AI coding agents can consult on demand while op
- ZipengWu365/TOMC
Context compression and task memory tool for AI coding assistants. It compresses long histories on CPU and provides explicitly saved task notes through an MCP server and a Python API, with plugins for
- KohakuBlueleaf/KohakUnlock
Research repository on unlocking tensor-compute throughput on NVIDIA GPUs via firmware-level changes. It documents a Linux initramfs port for one TU102 card and reproduction notes for Ampere, with C s
- yeyuxin777/baoyan-agent-benchmark
A benchmark for evaluating AI agent configurations on Chinese-language graduate admissions tasks, including program recommendations, application planning and updating advice when student information c