The image depicts a person sitting in front of a laptop computer, with a projection screen displaying a slide show in the background. The person is likely a student or researcher, as they are wearing a backpack and have a book open on their lap. There is an umbrella placed on the floor near the chair, indicating that the person has been outdoors. The room is well-lit and has a comfortable atmosphere, with a dining table and chairs visible in the background. The projection screen is located on the wall, and there is a tree visible outside the window.
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github.com/ashvardanian/scaling-democracy/tree/main
README sta Apache-2.0 license
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multiple Python versions using
Anaconda for package management.
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Scaling Democracy
With GPUs & Algebraic Graph Theory
This repository implements the Schulze voting algorithm using CUDA for
hardware acceleration. It's built as a single scaling_democracy.cu CUDA file,
wrapped with PyBind11, and compiled without CMake directly from the
setup.py. To pull, build and benchmark locally:
git clone https://github.com/ashvardanian/scaling-democracy.g
cd scaling-democracy
git submodule update --init --recursive
pip install pybind11 numpy numba cupy-cuda12x
pip install -e.
python benchmark.py
It's a fun project by itself. It might be a good example of using GPUs for
combinatorial problems with order-dependant traversal and also a good
starting point for single-day CUDA hacking experiences with the header-only
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