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English(EN) CUDA-Harness: Harnessing Agentic CUDA Kernel Generation and Optimization from Natural Language

新框架支持从自然语言生成 CUDA 内核

研究人员开发了 CUDA-Harness,一个旨在直接从自然语言提示生成和优化 CUDA 内核的新框架。该系统通过支持 Text2CUDA 生成,超越了现有的 Torch2CUDA 方法,解决了高性能计算中的专业知识壁垒。CUDA-Harness 包含中间结构化生成,以实现更好的语义理解和低级内核创建;基于合成的验证,以通过隔离的测试数据减轻奖励攻击;以及反馈自适应进化,以优先考虑正确性和性能优化。 AI

影响 该框架通过支持基于自然语言的 CUDA 内核生成,有望降低高性能计算的入门门槛。

排序理由 该集群包含一篇详细介绍新代码生成框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新框架支持从自然语言生成 CUDA 内核

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该集群包含一篇详细介绍新代码生成框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Qi Fan, An Zou, Yehan Ma ·

    CUDA-Harness:利用自然语言进行智能CUDA内核生成与优化

    arXiv:2609.00058v1 Announce Type: cross Abstract: Developing high-performance CUDA kernels demands specialized knowledge in algorithm implementation, correctness validation, and hardware-aware parallel optimization, creating a substantial expertise barrier and making generating C…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Yehan Ma ·

    CUDA-Harness:利用自然语言进行代理式 CUDA 内核生成和优化

    Developing high-performance CUDA kernels demands specialized knowledge in algorithm implementation, correctness validation, and hardware-aware parallel optimization, creating a substantial expertise barrier and making generating CUDA kernels directly from natural language (Text2C…