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葛丹颖参加 Euro-Par 2026 并作论文报告

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葛丹颖在第 32 届欧洲并行与分布式计算会议（Euro-Par 2026）上汇报了面向检索增强生成（RAG）的推理加速工作 ApproxRAG，通过协同优化磁盘、主机内存与设备内存的数据流动，实现最高 3.66 倍推理加速。

Danying Ge Presented at Euro-Par 2026

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At the 32nd International European Conference on Parallel and Distributed Computing (Euro-Par 2026), Danying Ge presented ApproxRAG, an inference acceleration work for retrieval-augmented generation (RAG) that jointly optimizes data movement among disk, host memory, and device memory to achieve up to a 3.66× inference speedup.