v1v2 (latest)

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

5 December 2018

Zachariah Carmichael

Seyed Hamed Fatemi Langroudi

Char Khazanov

Jeffrey Lillie

J. Gustafson

Dhireesha Kudithipudi

ArXiv (abs)PDF HTML

Papers citing "Deep Positron: A Deep Neural Network Using the Posit Number System"

22 / 22 papers shown

Title
Quantized Neural Networks for Microcontrollers: A Comprehensive Review of Methods, Platforms, and Applications Hamza A. Abushahla Dara Varam Ariel J. N. Panopio Mohamed I. AlHajri MQ 336 1 0 20 Aug 2025
EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices Arnab Sanyal Gourav Datta Gourav Datta Sandeep P. Chinchali Michael Orshansky MQ 909 1 0 05 May 2025
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision Yufeng Yang Adrian Kneip Charlotte Frenkel GNN 324 16 0 30 Apr 2024
Efficient and Mathematically Robust Operations for Certified Neural Networks Inference Fabien Geyer Johannes Freitag Tobias Schulz Sascha Uhrig 203 2 0 16 Jan 2024
Low-Precision Mixed-Computation Models for Inference on Edge Seyedarmin Azizi M. Nazemi M. Kamal Massoud Pedram MQ 210 5 0 03 Dec 2023
Design Principles for Lifelong Learning AI AcceleratorsNature Electronics (Nat. Electron.), 2023 Dhireesha Kudithipudi Anurag Daram Abdullah M. Zyarah Fatima Tuz Zohora J. Aimone ... Emre Neftci M. Mattina Vincenzo Lomonaco Clare D. Thiem Benjamin Epstein 251 20 0 05 Oct 2023
Compressed Real Numbers for AI: a case-study using a RISC-V CPU Federico Rossi M. Cococcioni Roger Ferrer Ibáñez Jesus Labarta Filippo Mantovani Marc Casas E. Ruffaldi Sergio Saponara MQ 58 0 0 11 Sep 2023
Number Systems for Deep Neural Network Architectures: A Survey Ghada Alsuhli Vasileios Sakellariou H. Saleh Mahmoud Al-Qutayri Baker Mohammad T. Stouraitis 191 5 0 11 Jul 2023
PDPU: An Open-Source Posit Dot-Product Unit for Deep Learning ApplicationsInternational Symposium on Circuits and Systems (ISCAS), 2023 Qiong Li Chao Fang Zhongfeng Wang 95 10 0 03 Feb 2023
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level TechniquesACM Computing Surveys (CSUR), 2021 JunKyu Lee L. Mukhanov A. S. Molahosseini U. Minhas Yang Hua Jesus Martinez del Rincon K. Dichev Cheol-Ho Hong Hans Vandierendonck 177 35 0 30 Dec 2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural NetworksIEEE Transactions on Parallel and Distributed Systems (TPDS), 2021 Cheng Gong Ye Lu Kunpeng Xie Zongming Jin Tao Li Yanzhi Wang MQ 212 7 0 08 Sep 2021
PositNN: Training Deep Neural Networks with Mixed Low-Precision PositIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Gonçalo Raposo P. Tomás Nuno Roma MQ 189 22 0 30 Apr 2021
PLAM: a Posit Logarithm-Approximate MultiplierIEEE Transactions on Emerging Topics in Computing (TETC), 2021 Raul Murillo Alberto A. Del Barrio Guillermo Botella Min Soo Kim Hyunjin Kim N. Bagherzadeh TPM 202 37 0 18 Feb 2021
ExPAN(N)D: Exploring Posits for Efficient Artificial Neural Network Design in FPGA-based SystemsIEEE Access (IEEE Access), 2020 S. Nambi Salim Ullah Aditya Lohana Siva Satyendra Sahoo Farhad Merchant Akash Kumar 200 13 0 24 Oct 2020
Degree-Quant: Quantization-Aware Training for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2020 Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 281 168 0 11 Aug 2020
Searching for Winograd-aware Quantized NetworksConference on Machine Learning and Systems (MLSys), 2020 Javier Fernandez-Marques P. Whatmough Andrew Mundy Matthew Mattina MQ 120 40 0 25 Feb 2020
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference Thierry Tambe En-Yu Yang Zishen Wan Yuntian Deng Vijay Janapa Reddi Alexander M. Rush David Brooks Gu-Yeon Wei MQ 97 23 0 29 Sep 2019
Training Deep Neural Networks Using Posit Number SystemACM Symposium on Cloud Computing (SoCC), 2019 Jinming Lu Siyuan Lu Zhisheng Wang Chao Fang Jun Lin Zhongfeng Wang Li Du MQ 105 16 0 06 Sep 2019
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge H. F. Langroudi Zachariah Carmichael David Pastuch Dhireesha Kudithipudi 143 24 0 06 Aug 2019
Deep Learning Training on the Edge with Low-Precision Posits H. F. Langroudi Zachariah Carmichael Dhireesha Kudithipudi MQ 129 15 0 30 Jul 2019
Template-Based Posit Multiplication for Training and Inferring in Neural Networks Raul Murillo Alberto A. Del Barrio Guillermo Botella Juan 97 18 0 09 Jul 2019
Performance-Efficiency Trade-off of Low-Precision Numerical Formats in Deep Neural Networks Zachariah Carmichael H. F. Langroudi Char Khazanov Jeffrey Lillie J. Gustafson Dhireesha Kudithipudi 113 56 0 25 Mar 2019