Skip to content
@QiMeng-IPRC

QiMeng-IPRC

README.md

QiMeng aims to achieve fully automated design of the chip hardware/software stack by leveraging large language models (LLMs), agents, and Boolean logic generation technologies. QiMeng has successfully automated designing RISC-V CPUs, optimizing operating system configurations, transcompiling tensor programs, and developing high-performance libraries, with performance comparable to that of human expertise. https://qimeng-ict.github.io/

Popular repositories Loading

  1. QiMeng-cpu-v1 QiMeng-cpu-v1 Public

    [IJCAI 2024] QiMeng-CPU-v1: Automated CPU Design by Learning from Input-Output Examples

    Verilog 27 6

  2. AutoOS AutoOS Public

    [ICML 2024] AutoOS: Make Your OS More Powerful by Exploiting Large Language Models

    Python 14 8

  3. QiMeng-SALV QiMeng-SALV Public

    [NeurIPS 2025] QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation

    Python 11 1

  4. QiMeng-MuPa QiMeng-MuPa Public

    [NeurIPS 2025] QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

    Python 10

  5. QiMeng-Kernel QiMeng-Kernel Public

    [AAAI 2026] QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation

    7 1

  6. BabelTower BabelTower Public

    [ICML 2022]BabelTower: Learning to Auto-parallelized Program Translation

    6 2

Repositories

Showing 10 of 13 repositories
View all repositories

Top languages

Loading…

Most used topics

Loading…