NyuziProcessor VS corundum

Nice! I warmly encourage open-core GPU work.

Here's another: https://github.com/jbush001/NyuziProcessor

There's also Nyuzi which is more GPGPU focused https://github.com/jbush001/NyuziProcessor, but the author also experimented with having it do 3D graphics.

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.

Sounds like the Nyuzi processor :D

The GPU uses this: https://github.com/alexforencich/verilog-pcie . And there is an open-source 100G NIC here, including open source 10G/25G MACs: https://github.com/corundum/corundum

Well, I did build this: https://github.com/corundum/corundum

I would look into 10GbE PCS/MAC packet processors implemented under AXI Stream interfaces for example. There are open source examples https://github.com/corundum/corundum and https://netfpga.org/ .

I built my own 100 Gbps capable NIC, along with driver: https://github.com/corundum/corundum. You're welcome to ask if you have any questions, though it is quite a different animal from a 100 Mbps NIC you might have on a microcontroller.

If you're looking for resources, here's one rather comprehensive example of a high-performance FPGA design with a fully custom DMA engine and driver, that runs on both Xilinx and Intel FPGAs: https://github.com/corundum/corundum

I have no idea, but you're welcome to build the design and look at it yourself: https://github.com/corundum/corundum/tree/master/fpga/mqnic/NetFPGA_SUME/fpga. The barrel shifters are in the DMA engine, both the read DMA and write DMA engines have wide barrel shifters.

Dive right into the slack channel and introduce yourself. There is also a new contributor guide. /u/alexforencich/ is on these reddits and he may be able to chime in and give you more concrete suggestions.