深度学习加速器(卷积神经网络) 这是在 Verilog 中实现类似 MIT Eyeriss 的深度学习加速器 注:clacc代表卷积层加速器 RTL-Implementation-of-Two-Layer-CNN https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN https://github.com/Di5h3z/ECE-564-Convolutional-Neural-Network-Accelerator 具有详细...
比如这本书亲测有效VLSI Digital Signal Processing System--Design and Implementationby Keshab典型的fpga...
Figure 9 Open in figure viewerPowerPoint The overall hardware architecture of dynamic reconfigurable design of the coarse-to-fine (C2F) inference implementation. Each arrow indicates the direction of data flow, for example, from master to slave for AXI-based protocol and from the output of the...
The code is written by Verilog/SystemVerilog and Synthesized on Xilinx FPGA using Vivado. The code is just experimental for function, not full optimized. Architecture Only 4 elementary modules implemented: The conv, this module perform the convolution computing, the full connecting is also treated ...
FPGA implementation ofCellular Neural Network(CNN) Initialization CNN CNN.vis Top-level design with initialization for A, B, I template SixteenbySixteen.javagenerates Verilog code for 16x16 layer modulesixteenbysixteen.v Default CornerDetection
We perform Verilog modeling and critical path optimization based on the AXI protocol standard. The accelerator is currently able to adapt to the computing requirements of the mainstream DCNN algorithm and at the same time can achieve a better energy efficiency ratio and computing efficiency. The ...
For Convolutional Neural Networks (CNNs), Depthwise Separable CNN (DSCNN) is the preferred architecture for Application Specific Integrated Circuit (ASIC) implementation on edge devices. It benefits from a multi-mode approximate multiplier proposed in this work. The proposed approximate multiplier uses ...
in the same clock cycle; no bursts, address decoding, arbitration, or reordering simplifies implementation and provides much higher performance than AXI. The architecture is also quite flexible as it decouples the DMA interface from the clients with dual port RAMs, enabling mixing different client ...