Ross ROSS = Recommend OSS · open-source software intelligence for agents

jbush001/NyuziProcessor resource

GPGPU microprocessor architecture observed · 2026-08-28

github.com/jbush001/NyuziProcessor · C · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 5422
  • days_rel: n/a
  • days_push: 663
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2218 stars · 378 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Nyuzi is an experimental open-source GPGPU microprocessor architecture with a synthesizable SystemVerilog hardware design, instruction set emulator, cycle-accurate simulator, and LLVM-based C/C++ compiler toolchain. It is designed for experimenting with microarchitectural and instruction set design tradeoffs, and can run on FPGA or entirely in simulation.

Use cases

  • experiment with GPGPU microarchitecture design tradeoffs
  • learn how a GPU processor is implemented in SystemVerilog
  • run compute-intensive parallel workloads on a custom ISA
  • develop and test compiler backends for a new instruction set
  • prototype hardware designs on an FPGA without proprietary IP
  • study vector processor architecture and SIMD programming

When to choose

  • you want a fully open-source, synthesizable GPGPU design to study or modify
  • you need an emulator and cycle-accurate simulator so you can develop without FPGA hardware
  • you are teaching or learning computer architecture, Verilog, or compiler design
  • you want to experiment with instruction set and microarchitecture tradeoffs end to end

When to avoid

  • you need a production-grade GPU with mature drivers and ecosystem support
  • you require high performance or energy efficiency comparable to commercial GPUs
  • you need Windows support, which is untested
  • you want a turnkey solution rather than a research and education platform

Facets

learning-resource · maturity maintenance

gpu-computing compiler simulation machine-learning hardware gpu-computing education gpgpu verilog system-verilog llvm processor-architecture fpga open-source-hardware isa-design computer-architecture linux macos

1 source

Member repositories

RepositoryRoleHealth v2
jbush001/NyuziProcessormain32

For agents

markdown · JSON · MCP: product_card(name="jbush001/NyuziProcessor")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem