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Minimizing transformer inference overhead using controlling element on Shenwei AI accelerator
Regular Papers | Updated：2025-05-06

    • Minimizing transformer inference overhead using controlling element on Shenwei AI accelerator

    • 使用申威人工智能加速器的控制单元最小化Transformer推理开销
    • “In the field of natural language processing, this study addresses the computational overhead challenge in transformer models. Expert researchers developed a three-tier scheduling framework and zero-copy memory management technique, laying a foundation for optimizing transformer models and improving inference efficiency on AI accelerators.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 4, Pages: 605-622(2025)

    • DOI：10.1631/FITEE.2400453    

      CLC： TP181

    • Received：28 May 2024，

      Revised：25 August 2024，

      Published：2025-04

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  • Yulong ZHAO, Chunzhi WU, Yizhuo WANG, et al. Minimizing transformer inference overhead using controlling element on Shenwei AI accelerator[J]. Frontiers of information technology & electronic engineering, 2025, 26(4): 605-622. DOI： 10.1631/FITEE.2400453.

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