3 papers
cs.ET2024
GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
Sahil Hassan, Michael Inouye, Miguel C. Gonzalez +4
Open-source simulation tools play a crucial role for neuromorphic application engineers and hardware architects to investigate performance bottlenecks and explore design optimizati…
cs.NE2024
Fine-Tuning Surrogate Gradient Learning for Optimal Hardware Performance in Spiking Neural Networks
Ilkin Aliyev, Tosiron Adegbija
The highly sparse activations in Spiking Neural Networks (SNNs) can provide tremendous energy efficiency benefits when carefully exploited in hardware. The behavior of sparsity in…
cs.AR2024
PULSE: Parametric Hardware Units for Low-power Sparsity-Aware Convolution Engine
Ilkin Aliyev, Tosiron Adegbija
Spiking Neural Networks (SNNs) have become popular for their more bio-realistic behavior than Artificial Neural Networks (ANNs). However, effectively leveraging the intrinsic, unst…