We present a novel representation of compressed data structure for simultaneous bounding volume hierarchy (BVH) traversals like they appear for instance in collision detection & proximity query. The main idea is to compress bounding volume (BV) descriptors and cluster BVH into a smaller parts 'treelet' that fit into CPU cache while at the same time maintain random-access and automatic cache-aware data structure layouts. To do that, we quantify BV and compress 'treelet' using predictor-corrector scheme with the predictor at a specific node in the BVH based on the chain of BVs upwards.
@article{arxiv.2012.05348,
title = {Compressed Bounding Volume Hierarchies for Collision Detection & Proximity Query},
author = {Toni Tan and Rene Weller and Gabriel Zachmann},
journal= {arXiv preprint arXiv:2012.05348},
year = {2020}
}