In this review paper a hardware implementation of an artificial neural network on Field Programmable Gate Arrays (FPGA) is presented. The parallel structure of a neural network makes it potentially fast for the computation of certain tasks. The same feature makes a neural network wel...
Andre Xian Ming Chang, Berin Martini, and Eugenio Culurciello. Recurrent Neural Net- works Hardware Implementation on FPGA. CoRR, abs/1511.05552, 2015.Andre Xian Ming Chang, Berin Martini, et al. Recurrent Neural Network Hardware Implementation on FPGA. in arXiv preprint arXiv:1511.05552, 2015...
它呈现A General Neural Network Hardware Architecture on FPGA.
6. FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network [O] . Zhuofeng Mo, Dehan Luo, Tengteng Wen, 2021 机译:FPGA实现气味识别与深度可分离的卷积神经网络 7. fpgaConvNet: A framework for mapping convolutional neu...
(2025). ONNX-To-Hardware Design Flow for Adaptive Neural-Network Inference on FPGAs. In: Carro, L., Regazzoni, F., Pilato, C. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2024. Lecture Notes in Computer Science, vol 15227. Springer, Cham. https://doi...
Based on the analysis of the network structure, it is necessary to place the computationally intensive and occupation-weighted structures of the YOLOv4-tiny network model in the FPGA development board for focused acceleration. YOLOv4-tiny mainly includes 3 × 3 standard convolution, 1×1 point-wis...
题目:Going Deeper with Embedded FPGA Platform for Convolutional Neural Network 日期&会议:Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays(FPGA) 文章主要做的事情: 在嵌入式FPGA平台上加速CNNs,为Image-Net大型图像分类开发了CNN加速器。
需求说明:深度学习FPGA实现知识储备 来自:http://blog.csdn.net/stdcoutzyx/article/details/41596663 说明:图文并茂,言简意赅。 自今年七月份以来,一直在实验室负责卷积神经网络(Convolutional Neural Network,CNN),期间配置和使用过theano和cuda-convnet、cuda-convnet2。为了增进CNN的理解和使用,特写此博文,以其与...
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Neuronix AI Labs Neural Network acceleration core for computer vision enables edge devices based on FPGAs, such as the AMD MPSoC family of products to increase their performance by eight to twelve-fold, hence enabling higher resolution, higher frame rate and more robust networks to run on the ...