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cs.ET2022
NeuCASL: From Logic Design to System Simulation of Neuromorphic Engines
Dharanidhar Dang, Amitash Nanda, Bill Lin +1
With Moore's law saturating and Dennard scaling hitting its wall, traditional Von Neuman systems cannot offer the GFlops/watt for compute-intensive algorithms such as CNN. Recent t…
cs.ET2022
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)
Dharanidhar Dang, Bill Lin, Debashis Sahoo
Deep learning is highly pervasive in today's data-intensive era. In particular, convolutional neural networks (CNNs) are being widely adopted in a variety of fields for superior ac…