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| Hauptseite > Publikationsdatenbank > IO-SEA: Storage I/O and Data Management for Exascale Architectures > print |
| Hauptseite > Publikationsdatenbank > IO-SEA: Storage I/O and Data Management for Exascale Architectures > print |
| 001 | 1037702 | ||
| 005 | 20250317091736.0 | ||
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| 100 | 1 | _ | |a Medeiros, Daniel |0 0000-0002-1434-3042 |b 0 |
| 111 | 2 | _ | |a CF '24: 21st ACM International Conference on Computing Frontiers |g CF24 |c Ischia |d 2024-05-07 - 2024-05-09 |w Italy |
| 245 | _ | _ | |a IO-SEA: Storage I/O and Data Management for Exascale Architectures |
| 260 | _ | _ | |a NY, USA |c 2024 |b ACM New York |
| 295 | 1 | 0 | |a Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions |
| 300 | _ | _ | |a 94 - 100 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
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| 520 | _ | _ | |a The new emerging scientific workloads to be executed in the upcoming exascale supercomputers face major challenges in terms of storage, given their extreme volume of data. In particular, intelligent data placement, instrumentation, and workflow handling are central to application performance. The IO-SEA project developed multiple solutions to aid the scientific community in adressing these challenges: a Workflow Manager, a hierarchical storage management system, and a semantic API for storage. All of these major products incorporate additional minor products that support their mission. In this paper, we discuss both the roles of all these products and how they can assist the scientific community in achieving exascale performance. |
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