skip to main content
10.1145/3293883.3301493acmconferencesArticle/Chapter ViewAbstractPublication PagesppoppConference Proceedingsconference-collections
poster

Compiler-assisted adaptive program scheduling in big.LITTLE systems: poster

Published: 16 February 2019 Publication History

Abstract

Energy-aware architectures provide applications with a mix of low and high frequency cores. Selecting the best core configurations for running programs is very challenging. Here, we leverage compilation, runtime monitoring and machine learning to map program phases to their best matching configurations. As a proof-of-concept, we devise the Astro system to show that our approach can outperform a state-of-the-art Linux scheduler for heterogeneous architectures.

References

[1]
Brian Jeff. 2013. ARM big.LITTLE Technology Moves Towards Fully Heterogeneous Global Task Scheduling. Technical Report. ARM Ltd.
[2]
G. Mendonça, B. Guimarães, P. Alves, M. Pereira, G. Araújo, and F. Pereira. 2017. DawnCC: Automatic Annotation for Data Parallelism and Offloading. TACO 14, 2 (2017), 13:1--13:25.
[3]
Rajiv Nishtala, Paul M. Carpenter, Vinicius Petrucci, and Xavier Martorell. 2017. Hipster: Hybrid Task Manager for Latency-Critical Cloud Workloads. In HPCA'17. IEEE, New York, NY, US, 409--420.
[4]
Gabriel Poesia, Breno Guimarães, Fabrício Ferracioli, and Fernando Magno Quintão Pereira. 2017. Static Placement of Computation on Heterogeneous Devices. Proc. ACM Program. Lang. 1, OOPSLA, Article 50 (2017), 28 pages.

Cited By

View all

Index Terms

  1. Compiler-assisted adaptive program scheduling in big.LITTLE systems: poster

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    PPoPP '19: Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming
    February 2019
    472 pages
    ISBN:9781450362252
    DOI:10.1145/3293883
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 February 2019

    Check for updates

    Author Tags

    1. adaptation
    2. big.LITTLE architecture
    3. compiler

    Qualifiers

    • Poster

    Funding Sources

    • CAPES
    • ANR

    Conference

    PPoPP '19

    Acceptance Rates

    PPoPP '19 Paper Acceptance Rate 29 of 152 submissions, 19%;
    Overall Acceptance Rate 230 of 1,014 submissions, 23%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)3
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 14 Sep 2024

    Other Metrics

    Citations

    Cited By

    View all

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media