PipelineC
nngen
| PipelineC | nngen | |
|---|---|---|
| 46 | 1 | |
| 544 | 318 | |
| - | 1.6% | |
| 9.5 | 4.9 | |
| 2 days ago | 7 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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PipelineC
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PipelineC Example: FM Radio Demodulation (FPGA SDR)
Related: PipelineC: A C-like hardware description language (HDL):
https://github.com/JulianKemmerer/PipelineC
- Generate non-CPU FPGA circuits from a C-like language
- What makes C, Verilog, Java, Python, etc. so different?
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What are your private FPGA projects and why?
https://github.com/JulianKemmerer/PipelineC :)
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What's the right path to learning for someone coming from software?
However, I think its still possible to have a productive C->HDL journey. Check out PipelineC, https://github.com/JulianKemmerer/PipelineC, its meant for folks with C experience to get right into doing RTL style reasoning :)
- Seeking Advice on How to approch RTL Programming
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Using FPGAs for computations as a beginner
https://github.com/JulianKemmerer/PipelineC-Graphics/blob/main/doc/Sphery-vs-Shapes.pdf https://github.com/JulianKemmerer/PipelineC
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Generating pipeline stages automatically?
This is exactly what the PipelineC tool was made for. https://github.com/JulianKemmerer/PipelineC
- Does Xilinx use multiplication algorithms to speed up/reduce the multipliers size?
- Sphery vs. Shapes, the first raytraced game that is not software
nngen
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Simplifying AI to FPGA deployment, looking for opportunities
Yes, like u/ComeGateMeBro, I also thought of hls4ml, and also something else I just found from Japan: NNgen, https://github.com/NNgen/nngen
What are some alternatives?
pygears - HW Design: A Functional Approach
TensorLayer - Deep Learning and Reinforcement Learning Library for Scientists and Engineers
cocotb - cocotb, a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python
Pyverilog - Python-based Hardware Design Processing Toolkit for Verilog HDL
pycparser - :snake: Complete C99 parser in pure Python
finn-examples - Dataflow QNN inference accelerator examples on FPGAs
hls4ml - Machine learning on FPGAs using HLS
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
antikernel - The Antikernel operating system project
larq - An Open-Source Library for Training Binarized Neural Networks
bsc - Bluespec Compiler (BSC)
dace - DaCe - Data Centric Parallel Programming