YANA delivers an accessible FPGA accelerator for spiking neural networks that shows near-linear inference scaling with sparsity and uses only 740 LUTs on the AMD Kria KR260 board.
et al.: SYNtzulu: A Tiny RISC-V-Controlled SNN Processor for Real- Time Sensor Data Analysis on Low-Power FPGAs
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YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
YANA delivers an accessible FPGA accelerator for spiking neural networks that shows near-linear inference scaling with sparsity and uses only 740 LUTs on the AMD Kria KR260 board.