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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Towards Dynamic Resource Management with Charm++

Authors: Aytekin, Tan; Huber, Dominik; Schreiber, Martin; Schulz, Martin;

Towards Dynamic Resource Management with Charm++

Abstract

Dynamic Resource Management (DRM) increases scheduling flexibility, improving both system performance and individual job execution. Supporting DRM, however, requires applications to adapt to dynamic changes in allocated resources. Higher-level programming models, such as task-based programming, can simplify this by hiding the complexity of process management and data redistribution. In this work, we integrate the adaptive features of the Charm++ programming model into the generic Dynamic Processes with PSets (DPP) design as a step towards mainstreaming the use of DRM on HPC systems. To this end, we implement DynCharm, a PMIx-based proxy process manager between Charm++ and the dynamic resource manager, and demonstrate its applicability in DRM scenarios on up to 16 nodes.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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