Interactive and Urgent HPC: State of the Research
Albert Reuther, William Arndt, Johannes Blaschke, Christian Boehme, Nick Brown, Antony Chazapis, Bjoern Enders, Jens Henrik Goebbert, Robert Henschel, Julian Kunkel, Maxime Martinasso, Michael Ringenburg, Rollin Thomas

TL;DR
This paper reviews the evolving landscape of high-performance computing, emphasizing the increasing importance of interactivity and urgency in HPC applications like simulations, data analysis, and machine learning, and discusses future integration strategies.
Contribution
It provides a comprehensive overview of current research and future directions for integrating interactivity and urgency into HPC systems.
Findings
HPC is increasingly adopting interactive and urgent computing paradigms.
Current research focuses on integrating policies, techniques, and technologies for urgent HPC.
Future work aims to enhance the responsiveness and interactivity of HPC ecosystems.
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsScientific Computing and Data Management · Distributed and Parallel Computing Systems · Advanced Data Storage Technologies
