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UID:dac_DAC 2026_sess315_RESEARCH2417@linklings.com
SUMMARY:HBSpec: A Hybrid-Bonding-based Heterogeneous Accelerator for Effic
 ient Tree-Structured Speculative Decoding
DESCRIPTION:Runze Wang, Qinggang Wang, Haifeng Liu, Xinyu Zhu, Chenggang D
 uan, Long Zheng, Xiaofei Liao, and Hai Jin (Huazhong University of Science
  and Technology) and Jingling Xue (UNSW)\n\nWe propose HBSpec, a hybrid-bo
 nding (HB)-based heterogeneous accelerator for tree-based speculative LLM 
 inference. Unlike existing near-memory processing (NMP)-enabled heterogene
 ous accelerators that place processing elements (PEs) on DRAM dies with li
 mited computation capability, HBSpec customizes PEs on the incorporated lo
 gic die to enhance NMP computation capacity. HBSpec is also equipped with 
 a communication-aware data mapping policy to reduce cross-bank access over
 head, an arithmetic intensity-aware scheduler to dynamically assign operat
 ors to the most suitable hardware units, and a Branch-KV pool to eliminate
  memory fragmentation. Experimental results show that HBSpec outperforms N
 PU-only, NPU+LPDDR, and NPU+HB baselines by 15.56x, 2.36x, and 2.13x, resp
 ectively.\n\nTopics: Quantum\n\nTrack: DES6. Quantum Computing, Systems\n\
 nSession Chairs: Hokeun Kim (Arizona State University); BaekGyu Kim (Daegu
  Gyeongbuk Institute of Science and Technology); Xiang Chen (Peking Univer
 sity); Sangyeob Kim (Yonsei University); Robert M. Radway (University of P
 ennsylvania); Prashanth Mohan (University of Pittsburgh); Xiaoxuan Yang (U
 niversity of Virginia, Stanford University); Ramtin Zand (University of So
 uth Carolina); Hadi Kamali (University of Central Florida); Jiafeng Xie (V
 illanova University); Prabuddha Chakraborty (University of Maine); Junichi
 ro Kadomoto (University of Tokyo); and Yosuke Ueno (RIKEN)\n\n
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