|
Methods for data multiplexing in neural networks
Princeton Docket # 22-3898-1
Current neural network architectures, particularly Transformers, face significant challenges due to their GPU-memory intensity, which limits throughput and increases time and energy costs during training and deployment. To address this issue, Princeton University researchers...
Published: 10/21/2024
|
Inventor(s): Karthik Narasimhan, Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Kai Li, Ameet Deshpande, Yushan Su
Keywords(s):
Category(s): Computer Science and Information Technology
|