11 citations · 24 across the 7 of their papers we have counts for
3 papers · 1 filter
TetrisG-SDK: Efficient Convolutional Layer Mapping with Adaptive Windows and Grouped Convolutions for Fast In-Memory Computing
Ke Dong, Kejie Huang, Tao Luo +1
Shifted-and-Duplicated-Kernel (SDK) mapping has emerged as an effective strategy to accelerate convolutional layers on compute-in-memory (CIM) hardware. However, existing SDK varia…
Optimizing Neural Networks with Learnable Non-Linear Activation Functions via Lookup-Based FPGA Acceleration
Mengyuan Yin, Benjamin Chen Ming Choong, Chuping Qu +3
Learned activation functions in models like Kolmogorov-Arnold Networks (KANs) outperform fixed-activation architectures in terms of accuracy and interpretability; however, their co…
Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic
Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh +2
Recent advancements in neural network quantisation have yielded remarkable outcomes, with three-bit networks reaching state-of-the-art full-precision accuracy in complex tasks. The…