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HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization
  for Neural Networks

HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks

6 December 2017
Dimitrios Stamoulis
E. Cai
Da-Cheng Juan
Diana Marculescu
ArXivPDFHTML

Papers citing "HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks"

12 / 12 papers shown
Title
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository
  Mining Study
Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study
Joel Castaño
Silverio Martínez-Fernández
Xavier Franch
Justus Bogner
CVBM
24
33
0
18 May 2023
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning
  Framework for Data Analytic Services
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic Services
Hui Dou
Shanshan Zhu
Yiwen Zhang
Pengfei Chen
Zibin Zheng
9
0
0
20 Apr 2023
Dynamic GPU Energy Optimization for Machine Learning Training Workloads
Dynamic GPU Energy Optimization for Machine Learning Training Workloads
Farui Wang
Weizhe Zhang
Shichao Lai
Meng Hao
Zheng Wang
30
30
0
05 Jan 2022
A survey on multi-objective hyperparameter optimization algorithms for
  Machine Learning
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
A. Hernández
I. Nieuwenhuyse
Sebastian Rojas Gonzalez
23
95
0
23 Nov 2021
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep
  Neural Networks
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks
Fuxun Yu
Dimitrios Stamoulis
Di Wang
Dimitrios Lymberopoulos
Xiang Chen
3DV
22
1
0
22 Nov 2020
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators
  using Reinforcement Learning
ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning
Sheng-Chun Kao
Geonhwa Jeong
T. Krishna
28
95
0
04 Sep 2020
PreVIous: A Methodology for Prediction of Visual Inference Performance
  on IoT Devices
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
Delia Velasco-Montero
Jorge Fernández-Berni
R. Carmona-Galán
Á. Rodríguez-Vázquez
30
21
0
13 Dec 2019
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
28
141
0
02 Nov 2019
Fast Hardware-Aware Neural Architecture Search
Fast Hardware-Aware Neural Architecture Search
Li Zhang
Yuqing Yang
Yuhang Jiang
Wenwu Zhu
Yunxin Liu
3DV
28
60
0
25 Oct 2019
ChamNet: Towards Efficient Network Design through Platform-Aware Model
  Adaptation
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
Xiaoliang Dai
Peizhao Zhang
Bichen Wu
Hongxu Yin
Fei Sun
...
Yiming Wu
Yangqing Jia
Peter Vajda
M. Uyttendaele
N. Jha
33
272
0
21 Dec 2018
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural
  Networks
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Lile Cai
Anne-Maelle Barneche
Arthur Herbout
Chuan-Sheng Foo
Jie Lin
V. Chandrasekhar
M. Sabry
27
16
0
29 Nov 2018
Hardware-Aware Machine Learning: Modeling and Optimization
Hardware-Aware Machine Learning: Modeling and Optimization
Diana Marculescu
Dimitrios Stamoulis
E. Cai
19
45
0
14 Sep 2018
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