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Runtime Task Scheduling using Imitation Learning for Heterogeneous
  Many-Core Systems
v1v2 (latest)

Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
18 July 2020
A. Krishnakumar
Samet E. Arda
A. Alper Goksoy
Sumit K. Mandal
Ümit Y. Ogras
A. L. Sartor
R. Marculescu
ArXiv (abs)PDFHTML

Papers citing "Runtime Task Scheduling using Imitation Learning for Heterogeneous Many-Core Systems"

5 / 5 papers shown
Launchpad: Learning to Schedule Using Offline and Online RL Methods
Launchpad: Learning to Schedule Using Offline and Online RL MethodsJob Scheduling Strategies for Parallel Processing (JSSPP), 2022
V. Venkataswamy
J. E. Grigsby
A. Grimshaw
Yanjun Qi
OffRLOnRL
242
2
0
01 Dec 2022
CEDR -- A Compiler-integrated, Extensible DSSoC Runtime
CEDR -- A Compiler-integrated, Extensible DSSoC RuntimeACM Transactions on Embedded Computing Systems (TECS), 2022
J. Mack
Sahil Hassan
Nirmal Kumbhare
Miguel Castro-Gonzalez
Ali Akoglu
181
30
0
15 Apr 2022
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs
DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCsIEEE Embedded Systems Letters (IEEE ESL), 2021
A. Alper Goksoy
A. Krishnakumar
M. S. Hassan
Allen-Jasmin Farcas
Ali Akoglu
R. Marculescu
Ümit Y. Ogras
96
14
0
22 Sep 2021
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep
  Reinforcement Learning
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement LearningInternational Conference on Machine Learning and Applications (ICMLA), 2021
Tegg Taekyong Sung
Bo Ryu
228
2
0
28 Apr 2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement
  Learning
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung
Bo Ryu
196
2
0
27 Apr 2021
1
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