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In this paper, we propose a novel workflow that allows users to seamlessly tune their simulations for a smaller memory footprint, which is especially valuable for scaling the simulation to a higher resolution. Due to precise estimation of the round-off errors, we achieve much higher efficiency than Random Search in determining the quantization schemes.

Full paper on https://dl.acm.org/doi/abs/10.1145/3528223.3530154.

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Native android VR app with gles implementation, compatible with Google Cardboard. It is a ZJU CG course project for Discussions on Special Topics. Visit Github for the full code.

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