KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation
cs.LG, cs.SE
Submitted: 2026-09-27
Updated: 2026-09-27
Code: https://github.com/ByteDance-Seed/cudaLLM
Terminology
Sources
- Kevin: Multi-Turn RL for Generating CUDA Kernels
- K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model
- CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- STARK: Strategic Team of Agents for Refining Kernels
- GLM-5: from Vibe Coding to Agentic Engineering
- R-Zero: Self-Evolving Reasoning LLM from Zero Data
- Qwen2.5-Coder Technical Report
- TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators
- AutoTriton: Automatic Triton Programming with Reinforcement Learning in LLMs
- Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations
- gpt-oss-120b & gpt-oss-20b Model Card
- KernelBench: Can LLMs Write Efficient GPU Kernels?
- Astra: A Multi-Agent System for GPU Kernel Performance Optimization
- FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems
- Qwen3 Technical Report
- QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
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