Deep Positron: A Deep Neural Network Using the Posit Number System Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ... 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 36 | 2019 |

Performance-efficiency trade-off of low-precision numerical formats in deep neural networks Z Carmichael, HF Langroudi, C Khazanov, J Lillie, JL Gustafson, ... Proceedings of the Conference for Next Generation Arithmetic 2019, 1-9, 2019 | 23 | 2019 |

Deep learning inference on embedded devices: Fixed-point vs posit SHF Langroudi, T Pandit, D Kudithipudi 2018 1st Workshop on Energy Efficient Machine Learning and Cognitive …, 2018 | 23 | 2018 |

Convolutional Drift Networks for Video Classification D Graham, SHF Langroudi, C Kanan, D Kudithipudi IEEE International Conference on Rebooting Computing (ICRC), 2017 | 8 | 2017 |

Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge HF Langroudi, Z Carmichael, D Pastuch, D Kudithipudi arXiv preprint arXiv:1908.02386, 2019 | 7 | 2019 |

PositNN Framework: Tapered Precision Deep Learning Inference for the Edge HF Langroudi, Z Carmichael, JL Gustafson, D Kudithipudi 2019 IEEE Space Computing Conference (SCC), 53-59, 2019 | 7 | 2019 |

(4+ 2 log n) Delta-G Parallel Prefix Modulo-(2^ n-3) Adder via Double Representation of Residues in [0, 2] G Jaberipur, SHF Langroudi IEEE Transactions on Circuits and Systems II: Express Briefs 62 (6), 583-587, 2015 | 7 | 2015 |

Deep Learning Training on the Edge with Low-Precision Posits HF Langroudi, Z Carmichael, D Kudithipudi arXiv preprint arXiv:1907.13216, 2019 | 5 | 2019 |

FPGA-SIDH: High-Performance Implementation of Supersingular Isogeny Diffie-Hellman Key-Exchange Protocol on FPGA. R Azarderakhsh, B Koziel, SHF Langroudi, MM Kermani IACR Cryptology ePrint Archive 2016, 672, 2016 | 5 | 2016 |

Modulo-(2^ n--2^ q--1) Parallel Prefix Addition via Excess-Modulo Encoding of Residues SHF Langroudi, G Jaberipur 2015 IEEE 22nd Symposium on Computer Arithmetic, 121-128, 2015 | 5 | 2015 |

Digital neuromorphic chips for deep learning inference: a comprehensive study HF Langroudi, T Pandit, M Indovina, D Kudithipudi Applications of Machine Learning 11139, 111390C, 2019 | 2 | 2019 |

Double {0, 1, 2} representation modulo-(2 n− 3) adders H Fatemi, G Jaberipur IWSSIP 2014 Proceedings, 119-122, 2014 | 2 | 2014 |

Adaptive Posit: Parameter Aware Numerical Format for Deep Learning Inference on the Edge HF Langroudi, V Karia, JL Gustafson, D Kudithipudi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 1 | 2020 |

PositNN: Tapered Precision Deep Learning Inference for the Edge HF Langroudi, Z Carmichael, JL Gustafson, D Kudithipudi | 1 | 2018 |

TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT HF Langroudi, V Karia, T Pandit, D Kudithipudi arXiv preprint arXiv:2104.02233, 2021 | | 2021 |

Exploiting Randomness in Deep Learning Algorithms HF Langroudi, C Merkel, H Syed, D Kudithipudi 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | | 2019 |