Hamed Fatemi Langroudi

According to our database, Hamed Fatemi Langroudi authored at least 14 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

ACTION: Automated Hardware-Software Codesign Framework for Low-precision Numerical Format SelecTION in TinyML.

Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Becky Mashaido, Dhireesha Kudithipudi

Proceedings of the Next Generation Arithmetic - Third International Conference, 2022

2021

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

Hamed Fatemi Langroudi, Vedant Karia, Tej Pandit, Dhireesha Kudithipudi

CoRR, 2021

ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS.

Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

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

Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

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

Hamed Fatemi Langroudi, Zachariah Carmichael, David Pastuch, Dhireesha Kudithipudi

CoRR, 2019

Deep Learning Training on the Edge with Low-Precision Posits.

Hamed Fatemi Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi

CoRR, 2019

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

Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi

CoRR, 2019

Exploiting Randomness in Deep Learning Algorithms.

Hamed Fatemi Langroudi, Cory E. Merkel, Humza Syed, Dhireesha Kudithipudi

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Positron: A Deep Neural Network Using the Posit Number System.

Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

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

Seyed Hamed Fatemi Langroudi, Tej Pandit, Dhireesha Kudithipudi

Proceedings of the 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2018

2017

Convolutional Drift Networks for Video Classification.

Dillon Graham, Seyed Hamed Fatemi Langroudi, Christopher Kanan, Dhireesha Kudithipudi

Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2015

(4+2 log n)ΔG Parallel Prefix Modulo-(2ⁿ-3) Adder via Double Representation of Residues in [0, 2].

Ghassem Jaberipur, Seyed Hamed Fatemi Langroudi

IEEE Trans. Circuits Syst. II Express Briefs, 2015

Modulo-(2ⁿ - 2^q - 1) Parallel Prefix Addition via Excess-Modulo Encoding of Residues.

Seyed Hamed Fatemi Langroudi, Ghassem Jaberipur

Proceedings of the 22nd IEEE Symposium on Computer Arithmetic, 2015

2014

Double {0, 1, 2} representation modulo-(2ⁿ - 3) adders.

Seyed Hamed Fatemi Langroudi, Ghassem Jaberipur

Proceedings of the International Conference on Systems, Signals and Image Processing, 2014