A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems
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.
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Conference Paper
| Published
| English
Author
Editor
Klusáček, D.;
Cirne, W.;
Desai, N.
Abstract
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.
Publishing Year
Proceedings Title
Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP)
forms.conference.field.series_title_volume.label
Lecture Notes in Computer Science
Volume
10773
Page
132-151
Conference
21st Workshop on Job Scheduling Strategies for Parallel Processing
Conference Location
Orlando, FL, USA
Conference Date
2017-06-02 – 2017-06-02
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Cite this
Keller A. A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In: Klusáček D, Cirne W, Desai N, eds. Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP). Vol 10773. Lecture Notes in Computer Science. Springer; 2018:132-151. doi:10.1007/978-3-319-77398-8_8
Keller, A. (2018). A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems. In D. Klusáček, W. Cirne, & N. Desai (Eds.), Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP) (Vol. 10773, pp. 132–151). Orlando, FL, USA: Springer. https://doi.org/10.1007/978-3-319-77398-8_8
@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={10.1007/978-3-319-77398-8_8}, 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} }
Keller, Axel. “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems.” In Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), edited by D. Klusáček, W. Cirne, and N. Desai, 10773:132–51. Lecture Notes in Computer Science. Springer, 2018. https://doi.org/10.1007/978-3-319-77398-8_8.
A. Keller, “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems,” in Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), Orlando, FL, USA, 2018, vol. 10773, pp. 132–151.
Keller, Axel. “A Data Structure for Planning Based Workload Management of Heterogeneous HPC Systems.” Proc. Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), edited by D. Klusáček et al., vol. 10773, Springer, 2018, pp. 132–51, doi:10.1007/978-3-319-77398-8_8.
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