A hybrid serial-parallel FPGA architecture for fully connected oscillatory neural networks scales arithmetic logic near-linearly, enabling 506 oscillators on a Zynq-7020, but weight memory and latency still scale quadratically.
Title resolution pending
1 Pith paper cite this work, alongside 12 external citations. Polarity classification is still indexing.
1
Pith paper citing it
12
external citations · OpenAlex
fields
cs.AR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Overcoming Quadratic Hardware Scaling for a Fully Connected Digital Oscillatory Neural Network
A hybrid serial-parallel FPGA architecture for fully connected oscillatory neural networks scales arithmetic logic near-linearly, enabling 506 oscillators on a Zynq-7020, but weight memory and latency still scale quadratically.