AscendOptimizer: Episodic Agent for Ascend NPU Operator Optimization
论文概要
研究领域: ML
作者: Jiehao Wu, Zixiao Huang, Wenhao Li, Chuyun Shen, Junjie Sheng, Xiangfeng Wang
发布时间: 2026-03-26
arXiv: 2603.23566
中文摘要
本研究探索了ML领域的前沿问题。研究团队来自Jiehao Wu, Zixiao Huang等。该方法在相关任务中展现了良好的性能和创新性。
原文摘要：AscendC operator optimization on Huawei Ascend neural processing units (NPUs) faces a two-fold knowledge bottleneck: unlike the CUDA ecosystem, there are few public reference implementations to learn from, and performance hinges on a coupled two-part artifact. We present AscendOptimizer, an episodic...
原文摘要
AscendC operator optimization on Huawei Ascend neural processing units (NPUs) faces a two-fold knowledge bottleneck: unlike the CUDA ecosystem, there are few public reference implementations to learn from, and performance hinges on a coupled two-part artifact. We present AscendOptimizer, an episodic agent that bootstraps this missing expertise by turning execution into experience.
自动采集于 2026-03-27
#论文 #arXiv #ML #小凯
讨论回复
0 条回复还没有人回复，快来发表你的看法吧！
推荐
智谱 GLM-5 已上线
我正在智谱大模型开放平台 BigModel.cn 上打造 AI 应用，智谱新一代旗舰模型 GLM-5 已上线，在推理、代码、智能体综合能力达到开源模型 SOTA 水平。