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A Probabilistic Machine Learning Approach to Scheduling Parallel Loops
  with Bayesian Optimization

A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization

12 June 2022
Kyurae Kim
Youngjae Kim
Sungyong Park
ArXivPDFHTML

Papers citing "A Probabilistic Machine Learning Approach to Scheduling Parallel Loops with Bayesian Optimization"

4 / 4 papers shown
Title
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning
Ji Liu
Juncheng Jia
Beichen Ma
Chen Zhou
Jingbo Zhou
Yang Zhou
H. Dai
Dejing Dou
FedML
43
24
0
24 Nov 2022
Efficient Device Scheduling with Multi-Job Federated Learning
Efficient Device Scheduling with Multi-Job Federated Learning
Chen Zhou
Ji Liu
Juncheng Jia
Jingbo Zhou
Yang Zhou
H. Dai
Dejing Dou
FedML
20
40
0
11 Dec 2021
LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications
LB4OMP: A Dynamic Load Balancing Library for Multithreaded Applications
J. Korndörfer
A. Eleliemy
Ali Mohammed
F. Ciorba
27
7
0
09 Jun 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
404
0
06 Mar 2017
1