KLineage: Recovering the Missing When of Kernel Optimization by Deoptimizing Experts
cs.AI
Submitted: 2026-05-27
Updated: 2026-09-29
Code: https://github.com/ict-agent/klineage
Project page: https://tongminglaic.github.io/AKO
Sources
- K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model
- GPU Kernel Optimization Beyond Full Builds: An LLM Framework with Minimal Executable Programs
- KEET: Explaining Performance of GPU Kernels Using LLM Agents
- Improving Efficiency of GPU Kernel Optimization Agents using a Domain-Specific Language and Speed-of-Light Guidance
- TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization
- CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
- FastKernels: Benchmarking GPU Kernel Generation in Production
- A Two-Stage GPU Kernel Tuner Combining Semantic Refactoring and Search-Based Optimization
- CuTeGen: An LLM-Based Agentic Framework for Generation and Optimization of High-Performance GPU Kernels using CuTe
- MultiKernelBench: A Multi-Platform Benchmark for Kernel Generation
- KernelFoundry: Hardware-aware evolutionary GPU kernel optimization
- Are LLM-Generated GPU Kernels Production-Ready? A Trace-Driven Benchmark and Optimization Agent
- FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving
- AccelOpt: A Self-Improving LLM Agentic System for AI Accelerator Kernel Optimization
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