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INSPIRIT: Adaptive Priority-based Task Scheduling for Heterogeneous Hardware

  • Yiqing Wang*
  • , Hailong Yang
  • , Xiaoyan Liu
  • , Xinyu Yang
  • , Pengbo Wang
  • , Xin You
  • , Qingxiao Sun
  • , Mingzhen Li
  • , Yi Liu
  • , Zhongzhi Luan
  • , Depei Qian
  • *Corresponding author for this work
  • Beihang University
  • China University of Petroleum - Beijing
  • Institute of Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose INSPIRIT, a lightweight priority-based scheduling framework designed for task-based runtime systems. INSPIRIT introduces two novel task attributes such as inspiring capability and inspiring efficiency for dictating scheduling, eliminating the requirements for application domain knowledge. Besides, INSPIRIT adopts a two-stage scheduling policy to monitor the changes in ready tasks in the queue and guide task dispatching with a focus on maximizing hardware utilization.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1277-1279
Number of pages3
ISBN (Electronic)9798331526436
DOIs
StatePublished - 2025
Event2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025 - Milan, Italy
Duration: 3 Jun 20257 Jun 2025

Publication series

NameProceedings - 2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025

Conference

Conference2025 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2025
Country/TerritoryItaly
CityMilan
Period3/06/257/06/25

Keywords

  • Heterogeneous Hardware
  • Load Balance
  • Priority-based Scheduling
  • Task-based Runtime System

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