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2109.01262
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On the Accuracy of Analog Neural Network Inference Accelerators
3 September 2021
T. Xiao
Ben Feinberg
C. Bennett
V. Prabhakar
Prashant Saxena
V. Agrawal
S. Agarwal
M. Marinella
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Papers citing
"On the Accuracy of Analog Neural Network Inference Accelerators"
4 / 4 papers shown
Title
NeuroSim V1.5: Improved Software Backbone for Benchmarking Compute-in-Memory Accelerators with Device and Circuit-level Non-idealities
James Read
Ming-Yen Lee
Wei-Hsing Huang
Yuan-Chun Luo
A. Lu
Shimeng Yu
32
0
0
05 May 2025
Provable Accuracy Bounds for Hybrid Dynamical Optimization and Sampling
Matthew Burns
Qingyuan Hou
Michael Huang
125
1
0
08 Oct 2024
Towards Green AI: Current status and future research
Christian Clemm
Lutz Stobbe
Kishan Wimalawarne
Jan Druschke
47
2
0
01 May 2024
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
1