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| Autores principales: | , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2603.22542 |
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| _version_ | 1866911540598276096 |
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| author | Reuther, Albert Arndt, William Blaschke, Johannes Boehme, Christian Brown, Nick Chazapis, Antony Enders, Bjoern Goebbert, Jens Henrik Henschel, Robert Kunkel, Julian Martinasso, Maxime Ringenburg, Michael Thomas, Rollin |
| author_facet | Reuther, Albert Arndt, William Blaschke, Johannes Boehme, Christian Brown, Nick Chazapis, Antony Enders, Bjoern Goebbert, Jens Henrik Henschel, Robert Kunkel, Julian Martinasso, Maxime Ringenburg, Michael Thomas, Rollin |
| contents | When we think of how we use smartphones, e-commerce, collaboration platforms, LLMs, etc., most of our interactions with computers are interactive and often urgent. Similar trends of interactivity and urgency are coming to HPC, with applications from simulations to data analysis and machine learning requiring more parallel computational capability and more interactivity. This chapter overviews the progress made so far along with some vectors of what the path forward will bring for greater integration of interactive and urgent HPC policies, techniques, and technologies into our HPC ecosystems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_22542 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Interactive and Urgent HPC: State of the Research Reuther, Albert Arndt, William Blaschke, Johannes Boehme, Christian Brown, Nick Chazapis, Antony Enders, Bjoern Goebbert, Jens Henrik Henschel, Robert Kunkel, Julian Martinasso, Maxime Ringenburg, Michael Thomas, Rollin Distributed, Parallel, and Cluster Computing A.1 When we think of how we use smartphones, e-commerce, collaboration platforms, LLMs, etc., most of our interactions with computers are interactive and often urgent. Similar trends of interactivity and urgency are coming to HPC, with applications from simulations to data analysis and machine learning requiring more parallel computational capability and more interactivity. This chapter overviews the progress made so far along with some vectors of what the path forward will bring for greater integration of interactive and urgent HPC policies, techniques, and technologies into our HPC ecosystems. |
| title | Interactive and Urgent HPC: State of the Research |
| topic | Distributed, Parallel, and Cluster Computing A.1 |
| url | https://arxiv.org/abs/2603.22542 |