Finding the Pareto Frontier of Low-Precision Data Formats and MAC Architecture for LLM Inference

To accelerate AI applications, numerous data formats and physical implementations of matrix multiplication have been proposed, creating a complex design space. This paper studies the efficient MAC implementation of the integer, floating-point, posit, and logarithmic number system (LNS) data formats...

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Bibliographic Details

Published in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) pp. 1 - 7
Main Authors:	Crafton, Brian, Peng, Xiaochen, Sun, Xiaoyu, Lele, Ashwin, Zhang, Bo, Khwa, Win-San, Akarvardar, Kerem
Format:	Conference Proceeding
Language:	English
Published:	IEEE 22.06.2025
Subjects:	Accuracy Artificial intelligence Design automation Noise Pareto optimization Quantization (signal)
Online Access:	Get full text
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