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1810.01963
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Learning Scheduling Algorithms for Data Processing Clusters
3 October 2018
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
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Papers citing
"Learning Scheduling Algorithms for Data Processing Clusters"
50 / 165 papers shown
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152
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28 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics
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Can Cui
Yiyuan Xiong
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Meihui Zhang
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274
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10 Aug 2021
Online Evolutionary Batch Size Orchestration for Scheduling Deep Learning Workloads in GPU Clusters
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Chen Sun
Shenggui Li
Jinyue Wang
Jun Yu
172
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08 Aug 2021
Toward Efficient Online Scheduling for Distributed Machine Learning Systems
IEEE Transactions on Network Science and Engineering (TNSE), 2021
Menglu Yu
Jia Liu
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Bo Ji
Elizabeth S. Bentley
210
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06 Aug 2021
FLASH: Fast Neural Architecture Search with Hardware Optimization
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Sumit K. Mandal
Ümit Y. Ogras
R. Marculescu
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MXDAG: A Hybrid Abstraction for Cluster Applications
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Sushovan Das
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AdaptCL: Efficient Collaborative Learning with Dynamic and Adaptive Pruning
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138
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Contingency-Aware Influence Maximization: A Reinforcement Learning Approach
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Haipeng Chen
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Milind Tambe
108
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13 Jun 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs
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Runzhong Wang
Zhigang Hua
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183
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09 Jun 2021
Resource Allocation in Disaggregated Data Centre Systems with Reinforcement Learning
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132
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Scheduling Jobs with Stochastic Holding Costs
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Dabeen Lee
Milan Vojnović
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28 May 2021
Machine Learning (ML)-Centric Resource Management in Cloud Computing: A Review and Future Directions
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Rajkumar Buyya
158
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09 May 2021
One Model to Rule them All: Towards Zero-Shot Learning for Databases
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Carsten Binnig
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252
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03 May 2021
MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores
International Symposium on High-Performance Computer Architecture (HPCA), 2021
Sheng-Chun Kao
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266
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28 Apr 2021
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning
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Bo Ryu
155
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Pronto: Federated Task Scheduling
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Evangelia Kalyvianaki
Peter R. Pietzuch
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27 Apr 2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung
Bo Ryu
85
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27 Apr 2021
Optimal CPU Scheduling in Data Centers via a Finite-Time Distributed Quantized Coordination Mechanism
IEEE Conference on Decision and Control (CDC), 2021
Apostolos I. Rikos
Andreas Grammenos
Evangelia Kalyvianaki
Christoforos N. Hadjicostis
Themistoklis Charalambous
Karl H. Johansson
187
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07 Apr 2021
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems
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Chana Ross
Maksym Lefarov
Felix Richter
Ayal Taitler
Zohar Feldman
Christian Daniel
Dotan Di Castro
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213
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04 Apr 2021
Learning to Optimize DAG Scheduling in Heterogeneous Environment
International Conference on Mobile Data Management (MDM), 2021
Jinhong Luo
Yunfan Zhou
Xijun Li
Mingxuan Yuan
Jianguo Yao
Jia Zeng
126
21
0
09 Mar 2021
Learning to Schedule DAG Tasks
Zhigang Hua
Feng Qi
Gan Liu
Shuang Yang
117
4
0
05 Mar 2021
A Survey of Machine Learning for Computer Architecture and Systems
ACM Computing Surveys (CSUR), 2021
Nan Wu
Yuan Xie
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252
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0
16 Feb 2021
Hugo: A Cluster Scheduler that Efficiently Learns to Select Complementary Data-Parallel Jobs
L. Thamsen
I. Verbitskiy
S. Nedelkoski
V. Tran
Vinícius Meyer
Miguel G. Xavier
O. Kao
C. Rose
114
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14 Feb 2021
TerraWatt: Sustaining Sustainable Computing of Containers in Containers
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Rob McGuinness
P. Pannuto
George Porter
Aaron Schulman
B. Raghavan
44
5
0
12 Feb 2021
Deep Reinforcement Agent for Scheduling in HPC
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
Yuping Fan
Z. Lan
T. Childers
Paul M. Rich
W. Allcock
M. Papka
148
52
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11 Feb 2021
Scheduling the NASA Deep Space Network with Deep Reinforcement Learning
IEEE Aerospace Conference (AERO), 2021
Edwin Y. Goh
Hamsa Shwetha Venkataram
Mark Hoffmann
M. Johnston
Brian Wilson
58
8
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09 Feb 2021
Accelerating Deep Learning Inference via Learned Caches
Arjun Balasubramanian
Adarsh Kumar
Yuhan Liu
Han Cao
Shivaram Venkataraman
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145
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18 Jan 2021
CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms
IEEE Transactions on Network Science and Engineering (TNSE), 2021
Andreas Grammenos
Themistoklis Charalambous
Evangelia Kalyvianaki
288
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15 Jan 2021
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation
Proceedings of the VLDB Endowment (PVLDB), 2020
Rong Zhu
Ziniu Wu
Yuxing Han
Kai Zeng
A. Pfadler
Zhengping Qian
Jingren Zhou
Tengjiao Wang
376
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18 Nov 2020
Thermal Prediction for Efficient Energy Management of Clouds using Machine Learning
Shashikant Ilager
K. Ramamohanarao
Rajkumar Buyya
147
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07 Nov 2020
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2020
Cong Zhang
Wen Song
Zhiguang Cao
Jie Zhang
Puay Siew Tan
Chi Xu
284
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23 Oct 2020
Online Safety Assurance for Deep Reinforcement Learning
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Michael Schapira
Aviv Tamar
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195
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07 Oct 2020
Testing Tail Weight of a Distribution Via Hazard Rate
Maryam Aliakbarpour
Amartya Shankha Biswas
Kavya Ravichandran
R. Rubinfeld
155
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06 Oct 2020
Heterogeneity-Aware Cluster Scheduling Policies for Deep Learning Workloads
Deepak Narayanan
Keshav Santhanam
Fiodar Kazhamiaka
Amar Phanishayee
Matei A. Zaharia
149
260
0
20 Aug 2020
Intelligent Replication Management for HDFS Using Reinforcement Learning
Hyunsung Lee
36
1
0
19 Aug 2020
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures
Evgenios M. Kornaropoulos
Silei Ren
R. Tamassia
AAML
168
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01 Aug 2020
DBOS: A Proposal for a Data-Centric Operating System
Michael Cafarella
D. DeWitt
V. Gadepally
J. Kepner
Christos Kozyrakis
Tim Kraska
Michael Stonebraker
Matei A. Zaharia
119
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21 Jul 2020
Buffer Pool Aware Query Scheduling via Deep Reinforcement Learning
Chi Zhang
Ryan Marcus
Anat Kleiman
Olga Papaemmanouil
186
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0
21 Jul 2020
Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
A. Krishnakumar
Samet E. Arda
A. Alper Goksoy
Sumit K. Mandal
Ümit Y. Ogras
A. L. Sartor
R. Marculescu
154
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18 Jul 2020
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Dimitris Bertsimas
V. Digalakis
176
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Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Yoni Birman
Ziv Ido
Gilad Katz
A. Shabtai
127
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17 Jul 2020
Constrained Combinatorial Optimization with Reinforcement Learning
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Josu Ceberio
Martin Takáč
128
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Learning the Travelling Salesperson Problem Requires Rethinking Generalization
Chaitanya K. Joshi
Quentin Cappart
Louis-Martin Rousseau
T. Laurent
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Stable Reinforcement Learning with Unbounded State Space
Devavrat Shah
Qiaomin Xie
Zhi Xu
OffRL
149
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Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking
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Rebecca Steinert
Daniel F. Perez-Ramirez
Magnus Boman
GNN
AI4CE
260
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22 May 2020
DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling
Tegg Taekyong Sung
J. Ha
Jeewoo Kim
Alex Yahja
Chae-Bong Sohn
Bo Ryu
113
11
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15 May 2020
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler
IEEE International Performance, Computing, and Communications Conference (IPCCC), 2020
Betis Baheri
Jake Tronge
B. Fang
Ang Li
Vipin Chaudhary
Qiang Guan
180
2
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04 May 2020
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