3 papers
cs.CL2024
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
Amitash Nanda, Sree Bhargavi Balija, Debashis Sahoo
Large language models have transformed the comprehension and generation of natural language tasks, but they come with substantial memory and computational requirements. Quantizatio…
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…