Hamed F. Langroudi

Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks

Zachariah Carmichael, Hamed F. Langroudi, Char Khazanov et al. · 2019 · 64 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Deep Neural Networks +14

Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge

Hamed F. Langroudi, Vedant Karia, John L. Gustafson et al. · 2020 · 28 citations

Artificial Intelligence, Convolutional Neural Network, Engineering +15

PositNN Framework: Tapered Precision Deep Learning Inference for the Edge

Hamed F. Langroudi, Zachariah Carmichael, John L. Gustafson et al. · 2019 · 25 citations

Artificial Intelligence, Edge Intelligence, Convolutional Neural Network +15

Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge.

Hamed F. Langroudi, Zachariah Carmichael, David Pastuch et al. · arXiv (Cornell University) · 2019 · 18 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +13

Alps: Adaptive Quantization of Deep Neural Networks with GeneraLized PositS

Hamed F. Langroudi, Vedant Karia, Zachariah Carmichael et al. · 2021 · 18 citations

Artificial Intelligence, Generalized Posit Format, Convolutional Neural Network +13