Artificial Intelligence #neural networks#pruning
Pruning Optimisations Boost LUT-Based Neural Network Scalability and Efficiency
Researchers propose a pruning-optimised Look-Up Table (LUT) matrix multiplication unit (LUT-MU) to address scalability limits in LUT-based neural networks. Deployed on FPGAs, it delivers up to 1.6x throughput improvement and 4.2x energy efficiency gains over CUDA-based implementations, with 1.3 to 2.6x resource savings versus original MADDNESS-based networks.
Jun 16, 2026 1 source