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Efficient task pruning mechanism to improve robustness of heterogeneous computing systems

  • Published:2020-08 Issue: Volume:142 Page:46-61
  • ISSN:0743-7315
  • Container-title:Journal of Parallel and Distributed Computing
  • language:en
  • Short-container-title:Journal of Parallel and Distributed Computing

Author:

Denninnart Chavit,Gentry James,Mokhtari Ali,Amini Salehi Mohsen

Funder

Louisiana Board of Regents

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference41 articles.

1. Amazon Web Sevices (AWS) Instance types,2018

2. Louisiana Optical Network Infrastructure (LONI) resources QB2,2018

3. Task scheduling for heterogeneous computing systems;AlEbrahim;Supercomput. J.,2017

4. Representing task and machine heterogeneities for heterogeneous computing systems;Ali;Tamkang J. Sci. Eng.,2000

5. R. Aparicio-Pardo, K. Pires, A. Blanc, G. Simon, Transcoding live adaptive video streams at a massive scale in the cloud, in: Proceedings of the 6th ACM Multimedia Systems Conference, 2015, pp. 49–60.

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1. Exhaustiveness Does Not Necessarily Mean Better: Selective Task Planning for Multi-robot Systems;2023 IEEE International Conference on Robotics and Biomimetics (ROBIO);2023-12-04

2. E2C: A Visual Simulator to Reinforce Education of Heterogeneous Computing Systems;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05

3. Dynamic Scheduling Strategies for Firm Semi-Periodic Real-Time Tasks;IEEE Transactions on Computers;2023-01-01

4. FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems;2022 IEEE 15th International Conference on Cloud Computing (CLOUD);2022-07
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