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CaMDN: Enhancing Cache Efficiency for Multi-tenant DNNs on Integrated NPUs

  • Beihang University
  • Tsinghua University
  • Jiangsu Shuguang Optoelectric Co., Ltd

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the rapid development of DNN applications, multi-tenant execution, where multiple DNNs are co-located on a single SoC, is becoming a prevailing trend. Although many methods are proposed in prior works to improve multi-tenant performance, the impact of shared cache is not well studied. This paper proposes CaMDN, an architecture-scheduling co-design to enhance cache efficiency for multi-tenant DNNs on integrated NPUs. Specifically, a lightweight architecture is proposed to support model-exclusive, NPU-controlled regions inside shared cache to eliminate unexpected cache contention. Moreover, a cache scheduling method is proposed to improve shared cache utilization. In particular, it includes a cache-aware mapping method for adaptability to the varying available cache capacity and a dynamic allocation algorithm to adjust the usage among co-located DNNs at runtime. Compared to prior works, CaMDN reduces the memory access by 33.4% on average and achieves a model speedup of up to 2.56 × (1.88 × on average).

源语言英语
主期刊名2025 62nd ACM/IEEE Design Automation Conference, DAC 2025
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331503048
DOI
出版状态已出版 - 2025
活动62nd ACM/IEEE Design Automation Conference, DAC 2025 - San Francisco, 美国
期限: 22 6月 202525 6月 2025

出版系列

姓名Proceedings - Design Automation Conference
ISSN(印刷版)0738-100X

会议

会议62nd ACM/IEEE Design Automation Conference, DAC 2025
国家/地区美国
San Francisco
时期22/06/2525/06/25

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