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MixCIM: A Hybrid-Cell-Based Computing-in-Memory Macro with Less-Data-Movement and Activation-Memory-Reuse for Depthwise Separable Neural Networks
Xin Qiao, Jiahao Song, Youming Yang, Renjie Wei, Xiyuan Tang, Meng Li, Runsheng Wang, Yuan Wang
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference
Wenxuan Zeng, Meng Li, Haichuan Yang, Wen-Jie Lu, Runsheng Wang, Ru Huang
Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference
Tianshi Xu, Meng Li, Runsheng Wang, Ru Huang
Memory-aware Scheduling for Complex Wired Networks with Iterative Graph Optimization
Shuzhang Zhong, Meng Li, Yun (Eric) Liang, Runsheng Wang, Ru Huang
MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention
Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-Jie Lu, Jin Tan, Runsheng Wang, Ru Huang
Not your father’s stochastic computing (SC)! Efficient yet Accurate End-to-End SC Accelerator Design
Meng Li, Yixuan Hu, Tengyu Zhang, Renjie Wei, Yawen Zhang, Ru Huang, Runsheng Wang
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction
Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang
Efficient Non-Linear Adder for Stochastic Computing with Approximate Spatial-Temporal Sorting Network
Yixuan Hu, Tengyu Zhang, Meng Li, Renjie Wei, Liangzhen Lai, Yuan Wang, Runsheng Wang, Ru Huang
Accurate yet Efficient Stochastic Computing Neural Acceleration with High Precision Residual Fusion
Yixuan Hu, Tengyu Zhang, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang
READ: Reliability-Enhanced Accelerator Dataflow Optimization using Critical Input Pattern Reduction
Zuodong Zhang, Meng Li, Yibo Lin, Runsheng Wang, Ru Huang