TrellisBoard
NyuziProcessor
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| TrellisBoard | NyuziProcessor | |
|---|---|---|
| 1 | 8 | |
| 84 | 1,673 | |
| - | - | |
| 10.0 | 0.0 | |
| over 3 years ago | 7 months ago | |
| ANTLR | C | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
TrellisBoard
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FPGA as a GPU for Linux
Implementing a 'dumb' framebuffer in a FPGA would be easy, and could probably done ina fully open-source way (e.g. synthesizing a Litex Framebuffer using Yosys on a https://github.com/gatecat/TrellisBoard
NyuziProcessor
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The WeeCee – Tiny Vortex86-Based DOS Gaming PC
You could probably layer a software implementation of the rasterization pipeline on top of a compute-focused open-source GPU architecture like Nyuzi: https://github.com/jbush001/NyuziProcessor/
I would expect a 2x slowdown over hardware rasterization, based on NVIDIA's work on such an approach, but this is probably fine if you're just trying to match Voodoo3 performance. And one could imagine bolting a minimal hardware rasterizer on top of Nyuzi to speed things up once the software implementation is working.
- FPGA as a GPU for Linux
- Nyuzi – An Experimental Open-Source FPGA GPGPU Processor
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Exploring RustFFT's SIMD Architecture
Sounds like the Nyuzi processor :D
What are some alternatives?
vdpau-va-driver-vp9 - Experimental VP9 codec support for vdpau-va-driver (NVIDIA VDPAU-VAAPI wrapper) and chromium-vaapi
openvga
hardware - Verilog development and verification project for HOL4
OpenSimplex2 - C implementation for CPU and GPU of OpenSimplex 2
ao486_MiSTer - ao486 port for MiSTer
JuicyPixels-stbir - Interface to STB Image Resize for the Haskell image library JuicyPixels
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
SummerCart64 - SC64 - an open source Nintendo 64 flashcart