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

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

25 March 2019
Zachariah Carmichael
H. F. Langroudi
Char Khazanov
Jeffrey Lillie
J. Gustafson
Dhireesha Kudithipudi
ArXivPDFHTML

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

4 / 4 papers shown
Title
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
Yufeng Yang
Adrian Kneip
Charlotte Frenkel
GNN
36
4
0
30 Apr 2024
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging
  Heterogeneous Memory Architectures
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures
Zirui Fu
Aleksandre Avaliani
M. Donato
44
1
0
25 Mar 2023
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
30
19
0
30 Apr 2021
Deep Learning Training on the Edge with Low-Precision Posits
Deep Learning Training on the Edge with Low-Precision Posits
H. F. Langroudi
Zachariah Carmichael
Dhireesha Kudithipudi
MQ
21
14
0
30 Jul 2019
1