dace
DaCe - Data Centric Parallel Programming (by spcl)
| dace | Vitis-AI-Tutorials | |
|---|---|---|
| 3 | 1 | |
| 467 | 351 | |
| 2.1% | 1.4% | |
| 9.5 | 4.5 | |
| 3 days ago | 7 months ago | |
| Python | ||
| BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dace
Posts with mentions or reviews of dace.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-20.
- Looking for HLS frameworks to start deploying DL algorithms on FPGAs
-
FPGA high-level programming
I had this recommended to me, but have yet to try it out: https://github.com/spcl/dace
-
Moving from Python to OpenCL, any advice?
I've had good experience with dace which has a Python frontend but compiles to both Intel OpenCL and Xilinx HLS (along with GPU and multicore CPU backends). It's the easiest way to get into FPGA programming IMO but you don't quite reach the same performance an FPGA expert might get.
Vitis-AI-Tutorials
Posts with mentions or reviews of Vitis-AI-Tutorials.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-20.
-
Looking for HLS frameworks to start deploying DL algorithms on FPGAs
https://github.com/Xilinx/Vitis-AI-Tutorials (xilinx-only)
What are some alternatives?
When comparing dace and Vitis-AI-Tutorials you can also consider the following projects:
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
hls4ml - Machine learning on FPGAs using HLS
hlslib - A collection of extensions for Vitis and Intel FPGA OpenCL to improve developer quality of life.
nngen - NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network
Fast-Poisson-Image-Editing - A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.