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A scheduling algorithm based on critical factors for heterogeneous multicore processors

  • Chen Li
  • , Ziniu Lin
  • , Lihua Tian
  • , Bin Zhang
  • Xi'an Jiaotong University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

As the development of chip manufacturing technology slows down, high-performance processors often have high energy consumption and high heat generation. Therefore, heterogeneous multi-core processors become more and more popular, and the heterogeneous multi-core processors is adopted to execute programs. At present, the general program consists of multiple threads. To reach goals of accelerating program execution and reducing energy consumption and heat generation of system, a suitable thread scheduling algorithm for heterogeneous multi-core processors is needed. In this article, a thread scheduling algorithm based on multiple critical scheduling factors is proposed. First, a prediction model of thread performance and energy consumption is used to predict the core sensitivity of threads. Then, critical threads are judged and accelerated by collecting the synchronization information between threads. Finally, the load balancing method based on the computing power of cores and the core sensitivity of threads is employed to perform system load balancing, which ensures the fairness of the scheduling. Several experiments are provided, and the results show that the proposed algorithm can obtain better performance of thread schedule.

Original languageEnglish
Article numbere7969
JournalConcurrency and Computation: Practice and Experience
Volume36
Issue number7
DOIs
StatePublished - 25 Mar 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • heterogeneous multicore processors
  • machine learning
  • thread scheduling

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