GPU-Accelerated 3D Voxel Traversal (Amanatides & Woo) in Python

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Junpei Kariyazono, Hideki Kobayashi, Tomo'omi Kumagai
DOI: 10.5281/zenodo.18112352
Cited by: 0

Abstract

A high-performance, GPU-accelerated implementation of the Amanatides & Woo 3D Voxel Traversal Algorithm. Written in pure Python using Numba (CUDA), this library allows for extremely fast ray-voxel intersection calculations without the need for C++ compilation. It is designed for LiDAR processing, ray tracing simulations, and volumetric analysis.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026