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cs.LG2024
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks
Alireza Khodamoradi, Kristof Denolf, Eric Dellinger
Quantization reduces the model's hardware costs, such as data movement, storage, and operations like multiply and addition. It also affects the model's behavior by degrading the ou…
cs.LG2023★ 9 cited
Microscaling Data Formats for Deep Learning
Bita Darvish Rouhani, Ritchie Zhao, Ankit More +30
Narrow bit-width data formats are key to reducing the computational and storage costs of modern deep learning applications. This paper evaluates Microscaling (MX) data formats that…