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cs.DC2025
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting
Jiaming Xu, Jiayi Pan, Yongkang Zhou +5
Early exiting has recently emerged as a promising technique for accelerating large language models (LLMs) by effectively reducing the hardware computation and memory access. In thi…
cs.LG2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
Ziyang Zheng, Shan Huang, Jianyuan Zhong +4
Circuit representation learning has become pivotal in electronic design automation, enabling critical tasks such as testability analysis, logic reasoning, power estimation, and SAT…