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Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite

Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite

J. Núñez-Yáñez
A. Otero
E. D. L. Torre
ArXiv (abs)PDFHTML

Papers citing "Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite"

3 / 3 papers shown
Title
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties
Leonardo F. S. Scabini
Odemir M. Bruno
GNN
38
56
0
29 Jul 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
260
482
0
17 Oct 2020
Fast inference of deep neural networks in FPGAs for particle physics
Fast inference of deep neural networks in FPGAs for particle physics
Javier Mauricio Duarte
Song Han
Philip C. Harris
S. Jindariani
E. Kreinar
...
J. Ngadiuba
M. Pierini
R. Rivera
N. Tran
Zhenbin Wu
AI4CE
159
395
0
16 Apr 2018

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