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| Autori principali: | , , , , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2508.04217 |
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| _version_ | 1866914459911454720 |
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| author | Rocco, Roberto Rizzo, Simone Barbieri, Matteo Bettonte, Gabriella Boella, Elisabetta Ganz, Fulvio Iserte, Sergio Peña, Antonio J. Sandås, Petter Scionti, Alberto Terzo, Olivier Vercellino, Chiara Vitali, Giacomo Viviani, Paolo Frassineti, Jonathan Marzella, Sara Ottaviani, Daniele Colonnelli, Iacopo Gregori, Daniele |
| author_facet | Rocco, Roberto Rizzo, Simone Barbieri, Matteo Bettonte, Gabriella Boella, Elisabetta Ganz, Fulvio Iserte, Sergio Peña, Antonio J. Sandås, Petter Scionti, Alberto Terzo, Olivier Vercellino, Chiara Vitali, Giacomo Viviani, Paolo Frassineti, Jonathan Marzella, Sara Ottaviani, Daniele Colonnelli, Iacopo Gregori, Daniele |
| contents | The integration of quantum computers within classical High-Performance Computing (HPC) infrastructures is receiving increasing attention, with the former expected to serve as accelerators for specific computational tasks. However, combining HPC and quantum computers presents significant technical challenges, including resource allocation. This paper presents a novel malleability-based approach, alongside a workflow-based strategy, to optimize resource utilization in hybrid HPC-quantum workloads. With both these approaches, we can release classical resources when computations are offloaded to the quantum computer and reallocate them once quantum processing is complete. Our experiments with a hybrid HPC-quantum use case show the benefits of dynamic allocation, highlighting the potential of those solutions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_04217 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic Solutions for Hybrid Quantum-HPC Resource Allocation Rocco, Roberto Rizzo, Simone Barbieri, Matteo Bettonte, Gabriella Boella, Elisabetta Ganz, Fulvio Iserte, Sergio Peña, Antonio J. Sandås, Petter Scionti, Alberto Terzo, Olivier Vercellino, Chiara Vitali, Giacomo Viviani, Paolo Frassineti, Jonathan Marzella, Sara Ottaviani, Daniele Colonnelli, Iacopo Gregori, Daniele Quantum Physics Distributed, Parallel, and Cluster Computing The integration of quantum computers within classical High-Performance Computing (HPC) infrastructures is receiving increasing attention, with the former expected to serve as accelerators for specific computational tasks. However, combining HPC and quantum computers presents significant technical challenges, including resource allocation. This paper presents a novel malleability-based approach, alongside a workflow-based strategy, to optimize resource utilization in hybrid HPC-quantum workloads. With both these approaches, we can release classical resources when computations are offloaded to the quantum computer and reallocate them once quantum processing is complete. Our experiments with a hybrid HPC-quantum use case show the benefits of dynamic allocation, highlighting the potential of those solutions. |
| title | Dynamic Solutions for Hybrid Quantum-HPC Resource Allocation |
| topic | Quantum Physics Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2508.04217 |