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Deep Learning Training on the Edge with Low-Precision Posits

Deep Learning Training on the Edge with Low-Precision Posits

30 July 2019
H. F. Langroudi
Zachariah Carmichael
Dhireesha Kudithipudi
    MQ
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Papers citing "Deep Learning Training on the Edge with Low-Precision Posits"

5 / 5 papers shown
Title
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning
Sifan Zhou
Shuo Wang
Zhihang Yuan
Mingjia Shi
Yuzhang Shang
Dawei Yang
ALM
MQ
83
0
0
18 Feb 2025
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
19
56
0
01 Aug 2022
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit
PositNN: Training Deep Neural Networks with Mixed Low-Precision Posit
Gonçalo Raposo
P. Tomás
Nuno Roma
MQ
11
19
0
30 Apr 2021
PLAM: a Posit Logarithm-Approximate Multiplier
PLAM: a Posit Logarithm-Approximate Multiplier
Raul Murillo
Alberto A. Del Barrio
Guillermo Botella
Min Soo Kim
Hyunjin Kim
N. Bagherzadeh
TPM
24
25
0
18 Feb 2021
Revisiting the Importance of Individual Units in CNNs via Ablation
Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou
Yiyou Sun
David Bau
Antonio Torralba
FAtt
52
116
0
07 Jun 2018
1