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Comparing the Performance of Small Word-Size Floating-Point Numerics to Fixed-Point Numerics in Neural Networks

Vennapusa, Lakshmi GrishmaGeorgia Institute of Technology2025

… architectures grow in depth and complexity, training them efficiently under hardware constraints has become increasingly important. While fixed-point arithmetic offers resource advantages, it suffers from limited dynamic range and quantization inflexibility. This thesis introduces an …

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