---
_id: '168'
abstract:
- lang: eng
  text: The use of heterogeneous computing resources, such as Graphic Processing Units
    or other specialized coprocessors, has become widespread in recent years because
    of their per- formance and energy efficiency advantages. Approaches for managing
    and scheduling tasks to heterogeneous resources are still subject to research.
    Although queuing systems have recently been extended to support accelerator resources,
    a general solution that manages heterogeneous resources at the operating system-
    level to exploit a global view of the system state is still missing.In this paper
    we present a user space scheduler that enables task scheduling and migration on
    heterogeneous processing resources in Linux. Using run queues for available resources
    we perform scheduling decisions based on the system state and on task characterization
    from earlier measurements. With a pro- gramming pattern that supports the integration
    of checkpoints into applications, we preempt tasks and migrate them between three
    very different compute resources. Considering static and dynamic workload scenarios,
    we show that this approach can gain up to 17% performance, on average 7%, by effectively
    avoiding idle resources. We demonstrate that a work-conserving strategy without
    migration is no suitable alternative.
author:
- first_name: Achim
  full_name: Lösch, Achim
  id: '43646'
  last_name: Lösch
- first_name: Tobias
  full_name: Beisel, Tobias
  last_name: Beisel
- first_name: Tobias
  full_name: Kenter, Tobias
  id: '3145'
  last_name: Kenter
- first_name: Christian
  full_name: Plessl, Christian
  id: '16153'
  last_name: Plessl
  orcid: 0000-0001-5728-9982
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
citation:
  ama: 'Lösch A, Beisel T, Kenter T, Plessl C, Platzner M. Performance-centric scheduling
    with task migration for a heterogeneous compute node in the data center. In: <i>Proceedings
    of the 2016 Design, Automation &#38; Test in Europe Conference &#38; Exhibition
    (DATE)</i>. EDA Consortium / IEEE; 2016:912-917.'
  apa: Lösch, A., Beisel, T., Kenter, T., Plessl, C., &#38; Platzner, M. (2016). Performance-centric
    scheduling with task migration for a heterogeneous compute node in the data center.
    <i>Proceedings of the 2016 Design, Automation &#38; Test in Europe Conference
    &#38; Exhibition (DATE)</i>, 912–917.
  bibtex: '@inproceedings{Lösch_Beisel_Kenter_Plessl_Platzner_2016, title={Performance-centric
    scheduling with task migration for a heterogeneous compute node in the data center},
    booktitle={Proceedings of the 2016 Design, Automation &#38; Test in Europe Conference
    &#38; Exhibition (DATE)}, publisher={EDA Consortium / IEEE}, author={Lösch, Achim
    and Beisel, Tobias and Kenter, Tobias and Plessl, Christian and Platzner, Marco},
    year={2016}, pages={912–917} }'
  chicago: Lösch, Achim, Tobias Beisel, Tobias Kenter, Christian Plessl, and Marco
    Platzner. “Performance-Centric Scheduling with Task Migration for a Heterogeneous
    Compute Node in the Data Center.” In <i>Proceedings of the 2016 Design, Automation
    &#38; Test in Europe Conference &#38; Exhibition (DATE)</i>, 912–17. EDA Consortium
    / IEEE, 2016.
  ieee: A. Lösch, T. Beisel, T. Kenter, C. Plessl, and M. Platzner, “Performance-centric
    scheduling with task migration for a heterogeneous compute node in the data center,”
    in <i>Proceedings of the 2016 Design, Automation &#38; Test in Europe Conference
    &#38; Exhibition (DATE)</i>, 2016, pp. 912–917.
  mla: Lösch, Achim, et al. “Performance-Centric Scheduling with Task Migration for
    a Heterogeneous Compute Node in the Data Center.” <i>Proceedings of the 2016 Design,
    Automation &#38; Test in Europe Conference &#38; Exhibition (DATE)</i>, EDA Consortium
    / IEEE, 2016, pp. 912–17.
  short: 'A. Lösch, T. Beisel, T. Kenter, C. Plessl, M. Platzner, in: Proceedings
    of the 2016 Design, Automation &#38; Test in Europe Conference &#38; Exhibition
    (DATE), EDA Consortium / IEEE, 2016, pp. 912–917.'
date_created: 2017-10-17T12:41:24Z
date_updated: 2023-09-26T13:27:00Z
ddc:
- '040'
department:
- _id: '27'
- _id: '518'
- _id: '78'
file:
- access_level: closed
  content_type: application/pdf
  creator: florida
  date_created: 2018-03-21T12:41:55Z
  date_updated: 2018-03-21T12:41:55Z
  file_id: '1541'
  file_name: 168-07459438.pdf
  file_size: 261356
  relation: main_file
  success: 1
file_date_updated: 2018-03-21T12:41:55Z
has_accepted_license: '1'
language:
- iso: eng
page: 912-917
project:
- _id: '1'
  grant_number: '160364472'
  name: SFB 901
- _id: '14'
  grant_number: '160364472'
  name: SFB 901 - Subprojekt C2
- _id: '4'
  name: SFB 901 - Project Area C
- _id: '30'
  grant_number: 01|H11004A
  name: Enabling Heterogeneous Hardware Acceleration using Novel Programming and Scheduling
    Models
publication: Proceedings of the 2016 Design, Automation & Test in Europe Conference
  & Exhibition (DATE)
publisher: EDA Consortium / IEEE
quality_controlled: '1'
status: public
title: Performance-centric scheduling with task migration for a heterogeneous compute
  node in the data center
type: conference
user_id: '15278'
year: '2016'
...