Demo of Agent Based Model on GPU with CUDA and OpenGL (Windows/Linux)
Demo of agent based model on GPU with CUDA and OpenGL (Windows/Linux) Agent instances on GPU memory Uses SSBO for instanced objects (with GLSL 450 shaders) CUDA OpenGL interops Renders with GLFW3 window manager Dynamic camera views in OpenGL (pan,zoom with mouse) Libraries installed using vcpkg (https://github.com/KienTTran/ABMGPU)
Demo of Agent Based Model on GPU with CUDA and OpenGL (Windows/Linux) launched on December 4, 2023 with 55 votes, #725 of 3,780 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
This is a demonstration of an agent-based model simulation that runs on GPUs using CUDA and OpenGL, available for Windows and Linux. It stores agent instances directly in GPU memory and renders them using GLSL shaders with instanced rendering. The application features dynamic camera controls for panning and zooming, and utilizes CUDA-OpenGL interoperability to manage data between compute and graphics pipelines. It is designed for developers and researchers interested in GPU-accelerated simulations and high-performance graphics rendering.
written from the facts on this page · September 2026
From the sources
Agent Based Model on GPU using CUDA 12.2.1 and OpenGL 4.5 (CUDA OpenGL interop) on Windows/Linux - KienTTran/ABMGPU
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