MAPPING CONVOLUTION TO CONNECTED PROCESSING ELEMENTS USING DISTRIBUTED PIPELINED SEPARABLE CONVOLUTION OPERATIONS

• 1. 用分布流水线可分离卷积运算将卷积映射到相连处理元件 [P] . 中国专利： CN113536216A . 2021-10-22
• 2. 使用每通道卷积运算的流水线逐点卷积 [P] . 中国专利： CN113435569A . 2021-09-24
• 3. MAPPING CONVOLUTION TO CONNECTED PROCESSING ELEMENTS USING DISTRIBUTED PIPELINED SEPARABLE CONVOLUTION OPERATIONS [P] . US2021334072A1 . 2021-10-28

  机译： 使用分布式流水线可分离卷积操作映射到连接处理元件的卷积

• 4. Method to Map Convolutional Layers of Deep Neural Network on a Plurality of Processing Elements with SIMD Execution Units, Private Memories, and Connected as a 2D Systolic Processor Array [P] . 美国专利： US2020134105A1 . 2020-04-30

  机译： 在具有SIMD执行单元，私有内存并连接为2D脉动处理器阵列的多个处理元件上映射深层神经网络卷积层的方法

• 5. Pipelined convolutional operations for processing clusters [P] . 美国专利： US9886377B2 . 2018-02-06

  机译： 用于处理集群的流水线卷积运算

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• 5. Joint optic disc and cup segmentation based on densely connected depthwise separable convolution deep network [O] . Bingyan Liu, Daru Pan, Hui Song 2021

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