---
_id: '22'
abstract:
- lang: eng
  text: This paper describes a data structure and a heuristic to plan and map arbitrary
    resources in complex combinations while applying time dependent constraints. The
    approach is used in the planning based workload manager OpenCCS at the Paderborn
    Center for Parallel Computing (PC\(^2\)) to operate heterogeneous clusters with
    up to 10000 cores. We also show performance results derived from four years of
    operation.
author:
- first_name: Axel
  full_name: Keller, Axel
  id: '15274'
  last_name: Keller
citation:
  ama: 'Keller A. A Data Structure for Planning Based Workload Management of Heterogeneous
    HPC Systems. In: Klusáček D, Cirne W, Desai N, eds. <i>Proc. Workshop on Job Scheduling
    Strategies for Parallel Processing (JSSPP)</i>. Vol 10773. Lecture Notes in Computer
    Science. Springer; 2018:132-151. doi:<a href="https://doi.org/10.1007/978-3-319-77398-8_8">10.1007/978-3-319-77398-8_8</a>'
  apa: 'Keller, A. (2018). A Data Structure for Planning Based Workload Management
    of Heterogeneous HPC Systems. In D. Klusáček, W. Cirne, &#38; N. Desai (Eds.),
    <i>Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP)</i>
    (Vol. 10773, pp. 132–151). Orlando, FL, USA: Springer. <a href="https://doi.org/10.1007/978-3-319-77398-8_8">https://doi.org/10.1007/978-3-319-77398-8_8</a>'
  bibtex: '@inproceedings{Keller_2018, series={Lecture Notes in Computer Science},
    title={A Data Structure for Planning Based Workload Management of Heterogeneous
    HPC Systems}, volume={10773}, DOI={<a href="https://doi.org/10.1007/978-3-319-77398-8_8">10.1007/978-3-319-77398-8_8</a>},
    booktitle={Proc. Workshop on Job Scheduling Strategies for Parallel Processing
    (JSSPP)}, publisher={Springer}, author={Keller, Axel}, editor={Klusáček, D. and
    Cirne, W. and Desai, N.Editors}, year={2018}, pages={132–151}, collection={Lecture
    Notes in Computer Science} }'
  chicago: Keller, Axel. “A Data Structure for Planning Based Workload Management
    of Heterogeneous HPC Systems.” In <i>Proc. Workshop on Job Scheduling Strategies
    for Parallel Processing (JSSPP)</i>, edited by D. Klusáček, W. Cirne, and N. Desai,
    10773:132–51. Lecture Notes in Computer Science. Springer, 2018. <a href="https://doi.org/10.1007/978-3-319-77398-8_8">https://doi.org/10.1007/978-3-319-77398-8_8</a>.
  ieee: A. Keller, “A Data Structure for Planning Based Workload Management of Heterogeneous
    HPC Systems,” in <i>Proc. Workshop on Job Scheduling Strategies for Parallel Processing
    (JSSPP)</i>, Orlando, FL, USA, 2018, vol. 10773, pp. 132–151.
  mla: Keller, Axel. “A Data Structure for Planning Based Workload Management of Heterogeneous
    HPC Systems.” <i>Proc. Workshop on Job Scheduling Strategies for Parallel Processing
    (JSSPP)</i>, edited by D. Klusáček et al., vol. 10773, Springer, 2018, pp. 132–51,
    doi:<a href="https://doi.org/10.1007/978-3-319-77398-8_8">10.1007/978-3-319-77398-8_8</a>.
  short: 'A. Keller, in: D. Klusáček, W. Cirne, N. Desai (Eds.), Proc. Workshop on
    Job Scheduling Strategies for Parallel Processing (JSSPP), Springer, 2018, pp.
    132–151.'
conference:
  end_date: 2017-06-02
  location: Orlando, FL, USA
  name: 21st Workshop on Job Scheduling Strategies for Parallel Processing
  start_date: 2017-06-02
date_created: 2017-07-25T14:54:08Z
date_updated: 2022-01-06T06:55:22Z
department:
- _id: '27'
doi: 10.1007/978-3-319-77398-8_8
editor:
- first_name: D.
  full_name: Klusáček, D.
  last_name: Klusáček
- first_name: W.
  full_name: Cirne, W.
  last_name: Cirne
- first_name: N.
  full_name: Desai, N.
  last_name: Desai
intvolume: '     10773'
keyword:
- Scheduling Planning Mapping Workload management
language:
- iso: eng
page: 132-151
publication: Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP)
publication_identifier:
  isbn:
  - 978-3-319-77398-8
  - 978-3-319-77397-1
publication_status: published
publisher: Springer
series_title: Lecture Notes in Computer Science
status: public
title: A Data Structure for Planning Based Workload Management of Heterogeneous HPC
  Systems
type: conference
user_id: '15274'
volume: 10773
year: '2018'
...