Automatic Quantization for Physics-Based Simulation
Published in arXiv (Cornell University) • Jul 11, 2022
NobleIDNI5P32W67R92S35
Authors:,,
Jiafeng Liu
Haoyang Shi
Siyuan Zhang
Abstract
Quantization has proven effective in high-resolution and large-scale simulations, which benefit from bit-level memory saving. However, identifying a quantization scheme that meets the requirement of both precision and memory efficiency requires trial and error. In this paper, we propose a novel fram...
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