BLOOM: Bit-Slice Framework for DNN Acceleration with Mixed-Precision

Deep neural networks (DNNs) have revolutionized numerous AI applications, but their vast model sizes and limited hardware resources present significant deployment challenges. Model quantization offers a promising solution to bridge the gap between DNN size and hardware capacity. While INT8 quantizat...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Liu, Fangxin, Yang, Ning, Wang, Zongwu, Zhu, Xuanpeng, Yao, Haidong, Xiong, Xiankui, Jiang, Li, Guan, Haibing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Accuracy Artificial neural networks Computer architecture Costs Design automation Encoding Energy efficiency Hardware Logic Quantization (signal)
Online-Zugang:	Volltext
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