An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
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Feb 14, 2022 - C
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An OpenCL-based FPGA Accelerator for Convolutional Neural Networks
QKeras: a quantization deep learning library for Tensorflow Keras
Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.
Implementation of a Tensor Processing Unit for embedded systems and the IoT.
Squeezenet V1.1 on Cyclone V SoC-FPGA at 450ms/image, 20x faster than ARM A9 processor alone. A project for 2017 Innovate FPGA design contest.
Research and Materials on Hardware implementation of Transformer Model
Convolutional accelerator kernel, target ASIC & FPGA
Small-scale Tensor Processing Unit built on an FPGA
BARVINN: A Barrel RISC-V Neural Network Accelerator: https://barvinn.readthedocs.io/en/latest/
This project implements a convolution kernel based on vivado HLS on zcu104
OPAE porting to Xilinx FPGA devices.
OpenGL 1.x implementation for FPGAs
OpenCL HLS based CNN Accelerator on Intel DE10 Nano FPGA.
Lenet for MNIST handwritten digit recognition using Vivado hls tool
Synthesizeable VHDL and Verilog implementation of 64-point FFT/IFFT Processor with Q4.12 Fixed Point Data Format.
Co-processor for whole genome alignment
An automated HDC platform
Implementation of a binary search tree algorithm in a FPGA/ASIC IP
Hardware-accelerated sorting algorithm
TCP/IP and UDP/IP protocol stack off-loading
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