FPGA - AI
XJTU-Tripler is based on HiPU100, an FPGA-friendly DNN accelerator, developed by CAG, Institute of AI & Robotics, XJTU.
Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"
Binarized Convolutional Neural Networks on Software-Programmable FPGAs (FPGA'17)
Quantized Neural Networks (QNNs) on PYNQ
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
CNN acceleration on virtex-7 FPGA with verilog HDL
Python on Zynq FPGA for Convolutional Neural Networks
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.