# jbush001/NyuziProcessor

GPGPU microprocessor architecture

Repository: https://github.com/jbush001/NyuziProcessor
Canonical: https://ross.abutalabs.com/products/nyuziprocessor
Language: C
License: Apache-2.0
License Family: permissive
Topics: fpga, gpu-computing, gpu, verilog, hardware, microprocessor, graphics, processor-architecture
Last push: 2024-11-08T06:00:11+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5422, "days_push": 663, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2218, forks 378 (observed 2026-08-28T04:06:27.338234+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: gpu-computing, compiler, simulation, machine-learning
- domain: hardware, gpu-computing, education
- platform: -
- tags: gpgpu, verilog, system-verilog, llvm, processor-architecture, fpga, open-source-hardware, isa-design, computer-architecture, linux, macos

## Member repositories
- jbush001/NyuziProcessor (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:27.338234+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:45:54.347062+00:00, confidence not recorded.
  - readme: https://github.com/jbush001/NyuziProcessor (fetched 2026-08-28T04:06:27.338234+00:00, sha 1577ecef60bb)
- Data as of 2026-08-30T08:39:29.467469+00:00.