| 引用本文: | 唐励勤,刁节涛,陈长林,等.面向大规模卷积计算的多忆阻器阵列互连结构设计.[J].国防科技大学学报,2023,45(5):222-230.[点击复制] |
| TANG Liqin,DIAO Jietao,CHEN Changlin,et al.Multi-memristor-array interconnection structure design for large scale CNN acceleration[J].Journal of National University of Defense Technology,2023,45(5):222-230[点击复制] |
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| 面向大规模卷积计算的多忆阻器阵列互连结构设计 |
| 唐励勤,刁节涛,陈长林,骆畅航,刘彪,刘思彤,张宇飞,王琴 |
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(国防科技大学 电子科学学院, 湖南 长沙 410073)
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| 摘要: |
| 针对现有多忆阻器阵列集成架构中存在的数据加载、读出效率低以及阵列协同灵活性差等问题,提出一种高效率、高灵活度的阵列互连架构。该架构所采用的数据加载策略支持多种权重映射模式下的数据复用,减少了片外数据访存需求；所采用的计算结果读出网络支持多个处理单元灵活组合实现不同规模卷积运算,以及计算结果的快速累加读出,进而提升了芯片灵活性和整体算力。在NeuroSim仿真平台上运行VGG-8网络进行的仿真实验表明,与MAX2神经网络加速器相比,在仅增加6%面积开销的情况下,取得了146%的处理速度提升。 |
| 关键词: 忆阻器 多阵列互连 卷积运算 神经网络加速器 |
| DOI：10.11887/j.cn.202305026 |
| 投稿日期：2022-06-13 |
| 基金项目:国家自然科学基金资助项目(61804181,62074166)；国家重点研发计划资助项目(2019YFB2205102) |
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| Multi-memristor-array interconnection structure design for large scale CNN acceleration |
| TANG Liqin, DIAO Jietao, CHEN Changlin, LUO Changhang, LIU Biao, LIU Sitong, ZHANG Yufei, WANG Qin |
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(College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| To address the problems of inefficient data loading and readout and poor flexibility of array collaboration in existing multi-memristor-array, a highly efficient and flexible multi-array interconnection architecture was proposed. The data loading strategy of the architecture supports data reuse in multiple weight mapping modes, reducing the need for off-chip data access; the readout network supports flexible combination of multiple processing units to achieve different scales of convolutional operations, as well as fast accumulation and readout of computation results, thus improving chip flexibility and overall computing power. Simulation experiments performed on the NeuroSim platform with running VGG-8 networks indicate a 146% increase in processing speed than that of the MAX2 neural network accelerator, with only a 6% increase in area overhead. |
| Keywords: memristor multi array interconnection convolutional operation neural network accelerator |
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