3 papers
cs.AR2026
PSA: A Pruning-Friendly Sparse-Aware Accelerator for Efficient Sparse Convolution in SNNs
Sanhe Fu, Kainan Wang, Bo Wang +1
Spiking neural networks (SNNs) are promising for energy-efficient artificial intelligence due to their event-driven sparse computation, and neuron pruning can further reduce redund…
math.CO2026
Proofs and disproofs of some conjectures on zero-sum problems of new types
Yang Li, San Ling, Zhonghua Sun +1
For integers and , let be the least such that every sequence of vectors in , each nonzero modulo , contains terms whose sum is zero mod…
cs.AR2025
STI-SNN: A 0.14 GOPS/W/PE Single-Timestep Inference FPGA-based SNN Accelerator with Algorithm and Hardware Co-Design
Kainan Wang, Chengyi Yang, Chengting Yu +3
Brain-inspired Spiking Neural Networks (SNNs) have attracted attention for their event-driven characteristics and high energy efficiency. However, the temporal dependency and irreg…