Research map / Large language models / Agents, code and math
KernelCraft: Benchmarking for Agentic Close-to-Metal Kernel Generation on Emerging Hardware
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- EGG: An Expert-Guided Agent Framework for Kernel Generation (ICML 2026 · similarity 0.90)
- StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning (ICML 2026 · similarity 0.87)
- The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements (NeurIPS 2025 · similarity 0.87)
- Is Agentic AI Ready for Real-World Hardware Engineering? A Deep Dive with Phoenix-bench (NeurIPS 2026 · similarity 0.87)
- Outrunning LLM Cutoffs: A Live Kernel Crash Resolution Benchmark for All (ICML 2026 · similarity 0.86)
- KernelBench: Can LLMs Write Efficient GPU Kernels? (ICML 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.