Hardware

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

Xincheng Feng, Guodong Shen, Jianhao Hu, Meng Li, Ngai Wong

HG-PIPE: Vision Transformer Acceleration with Hybrid-Grained Pipeline

Qingyu Guo, Jiayong Wan, Songqiang Xu, Meng Li, Yuan Wang

OSCA: End-to-end Serial Stochastic Computing Neural Acceleration with Fine-grained Scaling and Piecewise Activation

Yixuan Hu, Yikang Jia, Meng Li, Yuan Wang, Runsheng Wang, Ru Huang

CASCADE: A Framework for CNN Accelerator Synthesis with Concatenation and Refreshing Dataflow

Qingyu Guo, Haoyang Luo, Meng Li, Xiyuan Tang, Yuan Wang

ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer

Tong Xie, Yixuan Hu, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang, Ru Huang

A 16.38TOPS and 4.55POPS/W SRAM Computing-in-Memory Macro for Signed Operands Computation and Batch Normalization Implementation

Xin Qiao, Qingyu Guo, Xiyuan Tang, Jiahao Song, Renjie Wei, Meng Li, Runsheng Wang, Yuan Wang

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

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