31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding

Fuente: arXiv
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Auteurs principaux: Dong, Pingcheng, Tan, Yonghao, Liu, Xuejiao, Luo, Peng, Liu, Yu, Pang, Di, Ma, Songchen, Huang, Xijie, Liu, Shih-Yang, Zhang, Dong, Lu, Zhichao, Liang, Luhong, Tsui, Chi-Ying, Tu, Fengbin, Zhao, Liang, Cheng, Kwang-Ting
Format: Preprint
Publié: 2026
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author Dong, Pingcheng
Tan, Yonghao
Liu, Xuejiao
Luo, Peng
Liu, Yu
Pang, Di
Ma, Songchen
Huang, Xijie
Liu, Shih-Yang
Zhang, Dong
Lu, Zhichao
Liang, Luhong
Tsui, Chi-Ying
Tu, Fengbin
Zhao, Liang
Cheng, Kwang-Ting
author_facet Dong, Pingcheng
Tan, Yonghao
Liu, Xuejiao
Luo, Peng
Liu, Yu
Pang, Di
Ma, Songchen
Huang, Xijie
Liu, Shih-Yang
Zhang, Dong
Lu, Zhichao
Liang, Luhong
Tsui, Chi-Ying
Tu, Fengbin
Zhao, Liang
Cheng, Kwang-Ting
contents This work presents a 55nm speculative decoding-based LLM accelerator with bumping-based face-to-face ReRAM-on-logic stacking technology. It features a local rotation unit for outlier-free low-bit quantization, a stacking-aware PNM architecture co-designed with blockwise vector quantization to reduce weight EMA overheads, and an adaptive parallel speculative decoding scheme with an out-of-order scheduler for high resource and bandwidth utilization. Our chip achieves 14.08-to-135.69token/s and 4.46-to-7.17x speedup over vanilla speculative decoding.
format Preprint
id arxiv_https___arxiv_org_abs_2605_09375
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle 31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding
Dong, Pingcheng
Tan, Yonghao
Liu, Xuejiao
Luo, Peng
Liu, Yu
Pang, Di
Ma, Songchen
Huang, Xijie
Liu, Shih-Yang
Zhang, Dong
Lu, Zhichao
Liang, Luhong
Tsui, Chi-Ying
Tu, Fengbin
Zhao, Liang
Cheng, Kwang-Ting
Hardware Architecture
This work presents a 55nm speculative decoding-based LLM accelerator with bumping-based face-to-face ReRAM-on-logic stacking technology. It features a local rotation unit for outlier-free low-bit quantization, a stacking-aware PNM architecture co-designed with blockwise vector quantization to reduce weight EMA overheads, and an adaptive parallel speculative decoding scheme with an out-of-order scheduler for high resource and bandwidth utilization. Our chip achieves 14.08-to-135.69token/s and 4.46-to-7.17x speedup over vanilla speculative decoding.
title 31.1 A 14.08-to-135.69Token/s ReRAM-on-Logic Stacked Outlier-Free Large-Language-Model Accelerator with Block-Clustered Weight-Compression and Adaptive Parallel-Speculative-Decoding
topic Hardware Architecture
url https://arxiv.org/abs/2605.09375