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Learning Scheduling Algorithms for Data Processing Clusters
v1v2v3v4 (latest)

Learning Scheduling Algorithms for Data Processing Clusters

3 October 2018
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Learning Scheduling Algorithms for Data Processing Clusters"

15 / 165 papers shown
Benchmarking Graph Neural Networks
Benchmarking Graph Neural NetworksJournal of machine learning research (JMLR), 2023
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
1.3K
1,099
0
02 Mar 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network
  Compilation
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network CompilationInternational Conference on Learning Representations (ICLR), 2020
Byung Hoon Ahn
Prannoy Pilligundla
Amir Yazdanbakhsh
H. Esmaeilzadeh
ODL
219
88
0
23 Jan 2020
Learning Variable Ordering Heuristics for Solving Constraint
  Satisfaction Problems
Learning Variable Ordering Heuristics for Solving Constraint Satisfaction ProblemsEngineering applications of artificial intelligence (EAAI), 2019
Wen Song
Zhiguang Cao
Jie Zhang
Andrew Lim
204
37
0
23 Dec 2019
Intelligent Resource Scheduling for Co-located Latency-critical
  Services: A Multi-Model Collaborative Learning Approach
Intelligent Resource Scheduling for Co-located Latency-critical Services: A Multi-Model Collaborative Learning ApproachUSENIX Conference on File and Storage Technologies (FAST), 2019
Lei Liu
VLM
36
13
0
26 Nov 2019
Generalizable Resource Allocation in Stream Processing via Deep
  Reinforcement Learning
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Xiang Ni
Jing Li
Mo Yu
Wang Zhou
Kun-Lung Wu
GNN
140
24
0
19 Nov 2019
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement
  Learning
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning
Di Zhang
Dong Dai
Youbiao He
F. S. Bao
Bing Xie
OffRL
93
8
0
20 Oct 2019
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use caseComputer Communications (Comput. Commun.), 2019
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNNAI4CE
483
235
0
16 Oct 2019
Interpreting Deep Learning-Based Networking Systems
Interpreting Deep Learning-Based Networking Systems
Zili Meng
Minhu Wang
Jia-Ju Bai
Mingwei Xu
Hongzi Mao
Hongxin Hu
AI4CE
167
3
0
09 Oct 2019
Data Centers Job Scheduling with Deep Reinforcement Learning
Data Centers Job Scheduling with Deep Reinforcement LearningPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2019
Sisheng Liang
Zhou Yang
Fang Jin
Yong Chen
151
32
0
16 Sep 2019
Wield: Systematic Reinforcement Learning With Progressive Randomization
Wield: Systematic Reinforcement Learning With Progressive Randomization
Michael Schaarschmidt
Kai Fricke
Eiko Yoneki
131
2
0
15 Sep 2019
DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
DL2: A Deep Learning-driven Scheduler for Deep Learning ClustersIEEE Transactions on Parallel and Distributed Systems (TPDS), 2019
Size Zheng
Yixin Bao
Yangrui Chen
Chuan Wu
Chen Meng
Jialin Li
111
100
0
13 Sep 2019
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in
  Heterogeneous Clusters
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous ClustersInternational Conference on Machine Learning (ICML), 2019
Subho Sankar Banerjee
Saurabh Jha
Zbigniew T. Kalbarczyk
Ravishankar Iyer
182
14
0
04 Sep 2019
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling
  in Edge Computing
A Deep Reinforcement Learning Approach to Multi-component Job Scheduling in Edge ComputingInternational Conference on Mobile Ad-hoc and Sensor Networks (MSN), 2019
Zhi Cao
Honggang Zhang
Yu Cao
Benyuan Liu
192
6
0
26 Aug 2019
Placeto: Learning Generalizable Device Placement Algorithms for
  Distributed Machine Learning
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine LearningNeural Information Processing Systems (NeurIPS), 2019
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OODOffRL
174
71
0
20 Jun 2019
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs
Reinforced Genetic Algorithm Learning for Optimizing Computation GraphsInternational Conference on Learning Representations (ICLR), 2019
Aditya Sanjay Paliwal
Felix Gimeno
Vinod Nair
Yujia Li
Miles Lubin
Pushmeet Kohli
Oriol Vinyals
OffRLGNN
249
69
0
07 May 2019
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