Efficient AI

SpecMamba: Accelerating Mamba Inference on FPGA with Speculative Decoding

Linfeng Zhong, Songqiang Xu, Huifeng Wen, Tong Xie, Qingyu Guo, Yuan Wang, 李萌

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, 李萌

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference

Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, 李萌

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, 李萌

SpecASR: Accelerating LLM-based Automatic Speech Recognition via Speculative Decoding

Linye Wei, Shuzhang Zhong, Songqiang Xu, Runsheng Wang, Ru Huang, 李萌

UniCAIM: A Unified CAM/CIM Architecture with Static-Dynamic KV Cache Pruning for Efficient Long-Context LLM Inference

Weikai Xu, Wenxuan Zeng, Qianqian Huang, 李萌, Ru Huang

Compact Non-Volatile Lookup Table Architecture based on Ferroelectric FET Array through In-Situ Combinatorial One-Hot Encoding for Reconfigurable Computing

Weikai Xu, 李萌, Qianqian Huang, Ru Huang

LightMamba: Efficient Mamba Acceleration on FPGA with Quantization and Hardware Co-design

Renjie Wei, Songqiang Xu, Linfeng Zhong, Zebin Yang, Qingyu Guo, Yuan Wang, Runsheng Wang, 李萌

SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings

Renjie Wei, Zechun Liu, Yuchen Fan, Runsheng Wang, Ru Huang, 李萌

Stochastic Multivariate Universal-Radix Finite-State Machine: a Theoretically and Practically Elegant Nonlinear Function Approximator

Xincheng Feng, Guodong Shen, Jianhao Hu, 李萌, Ngai Wong