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GERDOS

Global Execution Runtime for Dynamic Open Systems

GERDOS is a model-agnostic execution runtime designed to extract useful performance from heterogeneous and constrained hardware.

Its purpose is the measured heterogeneous execution of a small exact operation set across hardware configurations that conventional inference runtimes may not exploit efficiently.

GERDOS treats compute, memory, storage, transfer mechanisms, and model state as resources within a single global execution system, while representing physical connectivity through a separate topology model.

Core principle

Revive old hardware. Run new models.

Direction, not status: what actually runs today is listed under Status below. Full-model inference is not claimed.

Architectural principles

  • Model-agnostic core
  • Hardware-aware execution
  • Global resource visibility
  • Dynamic scheduling
  • Explicit memory hierarchy
  • CPU as a compute resource
  • GPU as a compute and memory resource
  • Storage as an executable memory tier when beneficial
  • Overlapped computation and data movement
  • Measurement-driven decisions
  • Backend independence
  • Reproducible benchmarking

Specific models are validation workloads, not architectural dependencies.


Status

Early architectural development.

The project is intentionally being built from a minimal foundation rather than starting with model-specific or hardware-specific assumptions.

What runs today: the v1 op set (affine, matmul, reductions, min/max, mask-select, gather, division, move — F32), tiny gated demos, and tiled 128x128x128 matmul on the CPU/OpenCL/Vulkan engines. Full-model inference is not claimed: softmax, attention, layer-norm, residual-add, and argmax are refused by name until the algebra gap closes — nothing here runs an LLM yet.


Quickstart

Requires CMake 3.20+, a C++20 compiler, and Ninja (or your generator of choice). Python 3.10+ only for the gerdos driver/wheels.

Linux

cmake -S . -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j
ctest --test-dir build --output-on-failure

Both configs must be green with zero warnings under -Wall -Wextra -Wpedantic. Hardware suites print SKIP: ... and exit green when no device is present — that is the hardware gate working, not a failure. Full walkthrough: docs/GETTING_STARTED.md.

Windows (MSVC developer prompt)

cmake/ctest are not on a plain PowerShell PATH; run everything inside one VsDevCmd session:

VsDevCmd.bat -arch=amd64
cmake -G Ninja -DCMAKE_BUILD_TYPE=Release -S . -B build-win
cmake --build build-win
ctest --test-dir build-win --output-on-failure

With the Vulkan SDK installed (VULKAN_SDK set), the Vulkan compute backend test registers and runs; without it, it is absent-by-design. OpenCL needs a vendor ICD or it stays unregistered. Same green-tree rule, /W4, zero warnings.

Python wheels

pip install gerdos
python -m gerdos selftest

Manylinux x86_64/aarch64 wheels (CPython 3.10–3.13) self-test on the spot with no repo, no compiler, no env vars.


License

MIT — see LICENSE. Version is single-sourced from include/gerdos/version.hpp (currently 0.1.3).

Metadata

Release files for gerdos 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for gerdos 0.1.4
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Release files / gerdos-0.1.4.tar.gz

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