Efficient AI

Orchestrating Dual-Boundaries: An Arithmetic Intensity Inspired Acceleration Framework for Diffusion Language Models
Linye Wei, Wenjue Chen, Pingzhi Tang, Xiaotian Guo, Le Ye, Runsheng Wang, Meng Li
S2CIM: A Secure-Computation and Secure-Storage Compute-in-Memory Architecture with Circuit-Algorithm Co-Design for Efficient and Trustworthy Edge Inference
Hanyong Shao, Zhiyuan Ning, Runteng Zhu, Wenpu Luo, Xiaolei Wang, Xunzhao Yin, Meng Li, Kechao Tang, Ru Huang
EfficientNav: Towards On-Device Object-Goal Navigation with Navigation Map Caching and Retrieval
Zebin Yang, Sunjian Zheng, Tong Xie, Tianshi Xu, Bo Yu, Fan Wang, Jie Tang, Shaoshan Liu, Meng Li
H2EAL: Hybrid-Bonding Architecture with Hybrid Sparse Attention for Efficient Long-Context LLM Inference
Zizhuo Fu, Xiaotian Guo, Wenxuan Zeng, Shuzhang Zhong, Yadong Zhang, Peiyu Chen, Runsheng Wang, Le Ye, Meng Li
HD-MoE: Hybrid and Dynamic Parallelism for Mixture-of-Expert LLMs with 3D Near-Memory Processing
Haochen Huang, Shuzhang Zhong, Zhe Zhang, Shuangchen Li, Dimin Niu, Hongzhong Zheng, Runsheng Wang, Meng Li
No Redundancy, No Stall: Lightweight Streaming 3D Gaussian Splatting for Real-time Rendering
Linye Wei, Jiajun Tang, Fan Fei, Boxin Shi, Runsheng Wang, Meng Li
SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding
Linfeng Zhong, Songqiang Xu, Huifeng Wen, Tong Xie, Qingyu Guo, Yuan Wang, Meng Li
A 28nm 534.6TOPS/W Mixed-Precision Edge Accelerator for Embodied AI Using Stochastic Computing
Tengyu Zhang, Tong Xie, Haoyang Luo, Yixuan Hu, Yaoyu Tao, Xiyuan Tang, Yuan Wang, Runsheng Wang, Meng Li
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference
Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance
Tong Xie, Jiawang Zhao, Zishen Wan, Zuodong Zhang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li