OpenSERDES VS VexRiscv

But here is an open source ASIC-proven serdes block, [OpenSERDES](https://github.com/SparcLab/OpenSERDES). [Here's the paper describing it](https://arxiv.org/abs/2105.13256). It's only 2 Gb/s per link, but it seems like that would be enough to do DDR3. It is available on Skywater OpenPDK 130nm.

With LiteX you can synthesize a VexRiscV processor. You can run Linux on it. The toolchain is pretty easy to use, as long as you use Xilinx Vivado to compile to gateware.

I don't get what's going on with licensing and device support. I'm missing something here perhaps, but we use Cyclone 10 GX onwards and Quartus Pro so I don't have enough context maybe. Have you considered swapping your Nios ii to a VexRISCV as a side note? At ~1 Dhrystone MIPS/MHz it's roughly double that of the Nios V, for very few resources. All open source too. None of the migration documentation support though, so I can't judge how hard it would be.

If you use LiteX to generate a VexRiscV system-on-a-chip, you can include an open source DDR DRAM PHY. This works on Xilinx Spartan-6, Spartan7Artix7/Kintex7/Virtex7 FPGAs, and Lattice ECP5 FPGAs. DDR/LPDDR/DDR2/DDR3 depending on the FPGA.

Something like https://github.com/SpinalHDL/VexRiscv will take far fewer

A CPU built around the Gentoo philosophy would look like https://github.com/SpinalHDL/VexRiscv ;). Don't want an MMU? Fine. Need a larger RAM interface? You got it. Barrel ALU for DSP? Sure.

Interpreted languages work by consolidating all of the optimization effort in the interpreter. This is similar to how CPUs work now, instead of extremely specific optimizations that are hard to create distributed among all code we use very general optimizations that push the limits of mathematics that is centralized in a CPU.

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Itanium had a lot of contemporary issues that made it not work. I would certainly blame Intel's business practices and reputation for a large part of it. There are likely niches for such processors. The VLIW is useful for DSP or graphics. Indeed, the only extant VLIW (that I know of) processor is the Russian Elbrus. I think the VLIW is only included to let them reuse a lot of the core logic of the CPU to drive a DSP engine, useful for radar and scientific simulation, though the sci sim would probably use commercial hardware which would be faster.

It works on GPUs because they're doing DSP, basically. We could have weirder topologies for GPUs however, like a massive string of ALUs driven off an embedded core, so you try to kachunk all your data in a single clock domain after configuring the ALU string.

4) https://github.com/SpinalHDL/VexRiscv

I really like Chisel HDL or any other new HDL languages like SpinalHDL or migen b/c it allows you to create some very complex yet modular designs. See VexRiscv or LiteX for instance. Languages like this exist b/c there is a need for it, but I wouldn't say that you should learn these new languages over verilog. All these languages output verilog/VHDL for now, but there is work being to done eliminate the need for outputting verilog; eventually, Chisel will output an open source CIRCT IR. Hope is to get EDA vendors to support this IR which I'm sure will take a while. For now, you should definitely learn Verilog or VHDL before Chisel.

I'd recommend giving vexriscv a look. It'll handily fit on your FPGA, leaving plants of room for I2C, VGA output, and whatever multiplication you end up wanting to do. It's very easy to get set up, and their example "briey" SOC even has VGA output already, but not hardware I2C (though you could easily bitbang it with the core). Adding in I2C via a "plugin" should be trivial.