Machine learning on FPGAs using HLS
-
Updated
Nov 23, 2024 - C++
Machine learning on FPGAs using HLS
DaCe - Data Centric Parallel Programming
Scalable systolic array-based matrix-matrix multiplication implemented in Vivado HLS for Xilinx FPGAs.
A collection of extensions for Vitis and Intel FPGA OpenCL to improve developer quality of life.
Examples shown as part of the tutorial "Productive parallel programming on FPGA with high-level synthesis".
[FPGA 2021, Best Paper Award] An automated floorplanning and pipelining tool for Vivado HLS.
Real-time binocular stereo vision FPGA system with OV5640 cameras
FPGA implementation of Canny edge detection by using Vivado HLS
the project includes system design of a t intersection traffic light controller and its verilog code in vivado design suite.
FPGA acceleration of arbitrary precision floating point computations.
A Vivado HLS Command Line Helper Tool
Lenet for MNIST handwritten digit recognition using Vivado hls tool
This project implements a convolution kernel based on vivado HLS on zcu104
[DAC 2020] Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency
Real-time binocular stereo vision FPGA system with OV5640 cameras
MNIST accelerator using binary qunatization on Xilinx pynq-z2
Source codes for High Level Synthesis for Fixed Progammable Gate Arrays (FPGAs). Can be converted to RTL using Vivado HLS or SDSoC.
Add a description, image, and links to the vivado-hls topic page so that developers can more easily learn about it.
To associate your repository with the vivado-hls topic, visit your repo's landing page and select "manage topics."