Search Results for author: Tej Pandit

Found 2 papers, 0 papers with code

TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT

no code implementations6 Apr 2021 Hamed F. Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi

In this research, we propose a new low-precision framework, TENT, to leverage the benefits of a tapered fixed-point numerical format in TinyML models.


Deep Learning Inference on Embedded Devices: Fixed-Point vs Posit

no code implementations22 May 2018 Seyed H. F. Langroudi, Tej Pandit, Dhireesha Kudithipudi

Performing the inference step of deep learning in resource constrained environments, such as embedded devices, is challenging.


Cannot find the paper you are looking for? You can Submit a new open access paper.