Awesome-LLM4Kernel

LLM4Kernel: A Survey of Large Language Models for GPU Kernel Development
https://github.com/kcxain/Awesome-LLM4Kernel

Last synced: 36 minutes ago
JSON representation

📖 Benchmarks
- ![Paper
- ![Paper - acl.1183.pdf) [![Code](https://img.shields.io/github/stars/thunlp/TritonBench)](https://github.com/thunlp/TritonBench)
- ![Code - eval)
- ![Blog - pytorch/BackendBench/blob/main/docs/correctness.md) [![Code](https://img.shields.io/github/stars/meta-pytorch/BackendBench)](https://github.com/meta-pytorch/BackendBench)
- ![Paper
- ![Paper - kbench)](https://github.com/SakanaAI/robust-kbench)
- ![Paper - Computing-Lab/gpuFLOPBench)](https://github.com/Scientific-Computing-Lab/gpuFLOPBench)
- ![Paper - ai/flashinfer-bench)](https://github.com/flashinfer-ai/flashinfer-bench)
- ![Paper - Computing-Lab/ParallelCodeEstimation)](https://github.com/Scientific-Computing-Lab/ParallelCodeEstimation)
- ![Dataset
🔧 Method
- Agent-based pipelines
  - ![Paper
  - ![Paper - autonomous-gpu-kernel-generation-via-deep-agents/) [![Code](https://img.shields.io/github/stars/meta-pytorch/KernelAgent)](https://github.com/meta-pytorch/KernelAgent)
  - ![Paper
  - ![Paper - IPRC/QiMeng-Xpiler)](https://github.com/QiMeng-IPRC/QiMeng-Xpiler)
  - ![Paper - chow/QiMeng-Attention)](https://github.com/chris-chow/QiMeng-Attention)
  - ![Paper - TensorOp)](https://github.com/zhangxuzhi/QiMeng-TensorOp)
  - ![Paper - chow/QiMeng-GEMM)](https://github.com/chris-chow/QiMeng-GEMM)
  - ![Paper
  - ![Blog - many-agents-does-it-take-to-beat)
  - ![Paper - Lab/CudaForge)](https://github.com/OptimAI-Lab/CudaForge)
  - ![Report
- Agentic RL
  - ![Paper - IPRC/QiMeng-Kernel)](https://github.com/QiMeng-IPRC/QiMeng-Kernel)
  - ![Paper
  - ![Paper
  - ![Paper
- Domain specific Models
  - ![Paper - IPRC/QiMeng-MuPa)](https://github.com/QiMeng-IPRC/QiMeng-MuPa)
- Domain-specific Models
  - ![Model
  - ![Code - Seed/cudaLLM) [![Model](https://img.shields.io/badge/Model-HuggingFace-yellow)](https://huggingface.co/ByteDance-Seed/cudaLLM-8B)
- Search-based piplines
  - ![Paper
  - ![Paper
  - ![Paper
  - ![Blog - gpu-kernel-generation-with-deepseek-r1-and-inference-time-scaling/)
  - ![Paper - 3-031-99857-7_18) [![Code](https://img.shields.io/github/stars/matyas-brabec/2025-europar-llm)](https://github.com/matyas-brabec/2025-europar-llm)
  - ![Paper

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

Awesome-LLM4Kernel

📖 Benchmarks

🔧 Method

Agent-based pipelines

Agentic RL

Domain specific Models

Domain-specific Models

Search-based piplines