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HALF: Holistic Auto Machine Learning for FPGAs

HALF: Holistic Auto Machine Learning for FPGAs

28 June 2021
Jonas Ney
D. Loroch
Vladimir Rybalkin
Nicolas Weber
Jens Krüger
Norbert Wehn
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Papers citing "HALF: Holistic Auto Machine Learning for FPGAs"

3 / 3 papers shown
Title
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep
  Learning Acceleration
MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration
Zhiqiang Que
Shuo Liu
Markus Rognlien
Ce Guo
J. G. Coutinho
Wayne Luk
15
4
0
14 Jun 2023
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Rethinking Co-design of Neural Architectures and Hardware Accelerators
Yanqi Zhou
Xuanyi Dong
Berkin Akin
Mingxing Tan
Daiyi Peng
Tianjian Meng
Amir Yazdanbakhsh
Da Huang
Ravi Narayanaswami
James Laudon
49
26
0
17 Feb 2021
Efficient Multi-objective Neural Architecture Search via Lamarckian
  Evolution
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution
T. Elsken
J. H. Metzen
Frank Hutter
131
498
0
24 Apr 2018
1