Moreover, this paper introduces a hardware implementation for inference of the simulation results using an SoC chip with minimal hardware resource utilization. The suggested hardware design is developed from sc
In this work, Convolutional Neural Network (CNN) is applied for defect identification of Swiven Cap (one type of medical component) based on Field-Programmable Gate Array (FPGA) implementation. Caffe is used as the platform to develop the CNN model. After training phase, a confusion matrix is...
比如这本书亲测有效VLSI Digital Signal Processing System--Design and Implementationby Keshab典型的fpga...
https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN https://github.com/Di5h3z/ECE-564-Convolutional-Neural-Network-Accelerator 具有详细设计的两层 CNN 详细的设计文档: https://github.com/Haleski47/RTL-Implementation-of-Two-Layer-CNN/blob/master/report/Apar%20Bansal%20ECE564%20Pro...
[29]S. Taheri, P. Behnam, E. Bozorgzadeh, A. Veidenbaum, and A. Nicolau. Affix:Automatic acceleration framework for fpga implementation of openvxvision algorithms. In FPGA, 2019. [30]D. B. Thomas, L. Howes, and W. Luk. A Comparison of CPUs, GPUs, ...
and degradation factors are important. This work discusses and compares emerging technologies and hardware for NN implementations, focusing on the requirements for wearable biomedical devices. To address these challenges, field-programmable gate array (FPGA) implementation is adopted as a preferred solution...
[5] D. Baptista, F. Morgado-Dias, Low-resource hardware implementation of the hyperbolic tangent for artificial neural networks, Neural Comput. Appl. 23 (3) (2013) 601-607. Zbigniew Hajduk Zbigniew Hajduk于2006年获得波兰Zielona Góra大学的计算机工程博士学位(优等)。他是Rzeszów理工大学计算机与控...
To explore a reasonable implementation of the spiking neural networks, a novel method is proposed in which the network topology is simulated by the software simulation libraries, and the key computations are handed over to the FPGA forparallel computing to meet the requirements of easydevelopment, ...
VLSI Digital Signal Processing System--Design and Implementation by Keshab 典型的fpga实现可以参考Yufei Ma的文章,不论是conv,还是pooling,依葫芦画瓢设计data path,切好流水,再想好状态机加上控制信号。这些就看大家撸rtl的基本功了。 比如Conv模块如下图,主要拿一堆乘法器以及加法器树搭好data path,切好流水...
https://github.com/oshears/SNN-FPGA-Implementation https://github.com/jasha64/SNN-FPGA https://github.com/Minz9/SNN-on-FPGA https://github.com/oshears/fpga_snn_models 总结 今天介绍了主要3个SNN的项目,主要是SNN复杂度较TPU或者CNN或者DNN又高了几个台阶,所以用它来直接对FPGA进行移植难度很大,...