Interactive and Urgent HPC: State of the Research

Fuente: arXiv
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Main Authors: 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
Format: Preprint
Published: 2026
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_version_ 1866911540598276096
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