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#kernel-generation News & Analysis

2 articles tagged with #kernel-generation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBullisharXiv – CS AI · Feb 277/105
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K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model

Researchers introduce K-Search, a new GPU kernel optimization framework that uses co-evolving world models with LLMs to significantly improve performance over existing methods. The system achieves up to 14.3x performance gains on complex kernels by decoupling high-level planning from low-level implementation, addressing limitations of current automated optimization approaches.

AIBullisharXiv – CS AI · Mar 27/1013
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CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

Researchers developed CUDA Agent, a reinforcement learning system that significantly outperforms existing methods for GPU kernel optimization, achieving 100% faster performance than torch.compile on benchmark tests. The system uses large-scale agentic RL with automated verification and profiling to improve CUDA kernel generation, addressing a critical bottleneck in deep learning performance.